From 76a2f5d003d7cd12bb60b1bc343d33a0c754182f Mon Sep 17 00:00:00 2001 From: Doug Boulware Date: Tue, 19 Apr 2022 10:18:30 -0600 Subject: [PATCH 01/13] Move cal handling into scos-actions repo. --- requirements.in | 2 +- scos_usrp/hardware/calibration.py | 224 ------- .../hardware/tests/resources/__init__.py | 0 scos_usrp/hardware/tests/resources/utils.py | 80 --- scos_usrp/hardware/tests/test_calibration.py | 574 ------------------ scos_usrp/hardware/usrp_sigan.py | 127 +--- scos_usrp/settings.py | 10 - 7 files changed, 13 insertions(+), 1004 deletions(-) delete mode 100644 scos_usrp/hardware/calibration.py delete mode 100644 scos_usrp/hardware/tests/resources/__init__.py delete mode 100644 scos_usrp/hardware/tests/resources/utils.py delete mode 100644 scos_usrp/hardware/tests/test_calibration.py diff --git a/requirements.in b/requirements.in index 1dfcf0d..953689f 100644 --- a/requirements.in +++ b/requirements.in @@ -1,4 +1,4 @@ django>=3.1.13, <4.0 environs>=9.0, <10.0 numpy>=1.0, <2.0 -scos_actions @ git+https://github.com/NTIA/scos-actions@1.0.0 +scos_actions @ git+https://github.com/NTIA/scos-actions@calibration diff --git a/scos_usrp/hardware/calibration.py b/scos_usrp/hardware/calibration.py deleted file mode 100644 index 40b4e5c..0000000 --- a/scos_usrp/hardware/calibration.py +++ /dev/null @@ -1,224 +0,0 @@ -import json -import logging - -logger = logging.getLogger(__name__) - - -class Calibration(object): - def __init__( - self, - calibration_datetime, - calibration_data, - clock_rate_lookup_by_sample_rate, - calibration_frequency_divisions=None, - ): - self.calibration_datetime = calibration_datetime - self.calibration_data = calibration_data - self.clock_rate_lookup_by_sample_rate = clock_rate_lookup_by_sample_rate - self.calibration_frequency_divisions = sorted( - calibration_frequency_divisions, - key=lambda division: division["lower_bound"], - ) - - def get_clock_rate(self, sample_rate): - """Find the clock rate (Hz) using the given sample_rate (samples per second)""" - for mapping in self.clock_rate_lookup_by_sample_rate: - mapped = freq_to_compare(mapping["sample_rate"]) - actual = freq_to_compare(sample_rate) - if mapped == actual: - return mapping["clock_frequency"] - return sample_rate - - def get_calibration_dict(self, sample_rate, lo_frequency, gain): - """Find the calibration points closest to the current frequency/gain.""" - - # Check if the sample rate was calibrated - sr = freq_to_compare(sample_rate) - srs = sorted(self.calibration_data.keys()) - if sr not in srs: - logger.warning("Requested sample rate was not calibrated!") - logger.warning("Assuming default sample rate:") - logger.warning(" Requested sample rate: {}".format(sr)) - logger.warning(" Assumed sample rate: {}".format(srs[0])) - sr = srs[0] - - # Get the nearest calibrated frequency and its index - f = lo_frequency - fs = sorted(self.calibration_data[sr].keys()) - f_i = -1 - bypass_freq_interpolation = True - if f < fs[0]: # Frequency below calibrated range - f_i = 0 - logger.warning("Tuned frequency is below calibrated range!") - logger.warning("Assuming lowest frequency:") - logger.warning(" Tuned frequency: {}".format(f)) - logger.warning(" Assumed frequency: {}".format(fs[f_i])) - elif f > fs[-1]: # Frequency above calibrated range - f_i = len(fs) - 1 - logger.warning("Tuned frequency is above calibrated range!") - logger.warning("Assuming highest frequency:") - logger.warning(" Tuned frequency: {}".format(f)) - logger.warning(" Assumed frequency: {}".format(fs[f_i])) - else: - # Ensure we use frequency interpolation - bypass_freq_interpolation = False - # Check if we are within a frequency division - for div in self.calibration_frequency_divisions: - if f > div["lower_bound"] and f < div["upper_bound"]: - logger.warning("Tuned frequency within a division!") - logger.warning("Assuming frequency at lower bound:") - logger.warning(" Tuned frequency: {}".format(f)) - logger.warning( - " Lower bound: {}".format(div["lower_bound"]) - ) - logger.warning( - " Upper bound: {}".format(div["upper_bound"]) - ) - logger.warning( - " Assumed frequency: {}".format(div["lower_bound"]) - ) - f = div[ - "lower_bound" - ] # Interpolation will force this point; no interpolation error - # Determine the index associated with the closest frequency less than or equal to f - for i in range(len(fs) - 1): - f_i = i - # If the next frequency is larger, we're done - if fs[i + 1] > f: - break - - # Get the nearest calibrated gain and its index - g = gain - gs = sorted(self.calibration_data[sr][fs[f_i]].keys()) - g_i = -1 - g_fudge = 0 - bypass_gain_interpolation = True - if g < gs[0]: # Gain below calibrated range - g_i = 0 - g_fudge = g - gs[0] - logger.warning("Current gain is below calibrated range!") - logger.warning("Assuming lowest gain and extending:") - logger.warning(" Current gain: {}".format(g)) - logger.warning(" Assumed gain: {}".format(gs[0])) - logger.warning(" Fudge factor: {}".format(g_fudge)) - elif g > gs[-1]: # Gain above calibrated range - g_i = len(gs) - 1 - g_fudge = g - gs[-1] - logger.warning("Current gain is above calibrated range!") - logger.warning("Assuming lowest gain and extending:") - logger.warning(" Current gain: {}".format(g)) - logger.warning(" Assumed gain: {}".format(gs[-1])) - logger.warning(" Fudge factor: {}".format(g_fudge)) - else: - # Ensure we use gain interpolation - bypass_gain_interpolation = False - # Determine the index associated with the closest gain less than or equal to g - for i in range(len(gs) - 1): - g_i = i - # If the next gain is larger, we're done - if gs[i + 1] > g: - break - - # Get the list of calibration factors - calibration_factors = self.calibration_data[sr][fs[f_i]][gs[g_i]].keys() - - # Interpolate as needed for each calibration point - interpolated_calibration = {} - for cal_factor in calibration_factors: - if bypass_gain_interpolation and bypass_freq_interpolation: - factor = self.calibration_data[sr][fs[f_i]][gs[g_i]][cal_factor] - elif bypass_freq_interpolation: - factor = self.interpolate_1d( - g, - gs[g_i], - gs[g_i + 1], - self.calibration_data[sr][fs[f_i]][gs[g_i]][cal_factor], - self.calibration_data[sr][fs[f_i]][gs[g_i + 1]][cal_factor], - ) - elif bypass_gain_interpolation: - factor = self.interpolate_1d( - f, - fs[f_i], - fs[f_i + 1], - self.calibration_data[sr][fs[f_i]][gs[g_i]][cal_factor], - self.calibration_data[sr][fs[f_i + 1]][gs[g_i]][cal_factor], - ) - else: - factor = self.interpolate_2d( - f, - g, - fs[f_i], - fs[f_i + 1], - gs[g_i], - gs[g_i + 1], - self.calibration_data[sr][fs[f_i]][gs[g_i]][cal_factor], - self.calibration_data[sr][fs[f_i + 1]][gs[g_i]][cal_factor], - self.calibration_data[sr][fs[f_i]][gs[g_i + 1]][cal_factor], - self.calibration_data[sr][fs[f_i + 1]][gs[g_i + 1]][cal_factor], - ) - - # Apply the gain fudge factor based off the calibration type - if "gain" in cal_factor: - factor += g_fudge - if "noise_figure" in cal_factor: - factor -= g_fudge - if "compression" in cal_factor: - factor -= g_fudge - - # Add the calibration factor to the interpolated list - interpolated_calibration[cal_factor] = factor - - # Return the interpolated calibration factors - return interpolated_calibration - - def interpolate_1d(self, x, x1, x2, y1, y2): - """Interpolate between points in one dimension.""" - return y1 * (x2 - x) / (x2 - x1) + y2 * (x - x1) / (x2 - x1) - - def interpolate_2d(self, x, y, x1, x2, y1, y2, z11, z21, z12, z22): - """Interpolate between points in two dimensions.""" - z_y1 = self.interpolate_1d(x, x1, x2, z11, z21) - z_y2 = self.interpolate_1d(x, x1, x2, z12, z22) - return self.interpolate_1d(y, y1, y2, z_y1, z_y2) - - -def freq_to_compare(f): - """Allow a frequency of type [float] to be compared with ==""" - f = int(round(f)) - return f - - -def load_from_json(fname): - with open(fname) as file: - calibration = json.load(file) - - # Check that the required fields are in the dict - assert "calibration_datetime" in calibration - assert "calibration_frequency_divisions" in calibration - assert "calibration_data" in calibration - assert "clock_rate_lookup_by_sample_rate" in calibration - - # Load all the calibration data - calibration_data = {} - for sample_rate_row in calibration["calibration_data"]["sample_rates"]: - sr = freq_to_compare(sample_rate_row["sample_rate"]) - for frequency_row in sample_rate_row["calibration_data"]["frequencies"]: - f = frequency_row["frequency"] - for gain_row in frequency_row["calibration_data"]["gains"]: - g = gain_row["gain"] - cal_point = gain_row["calibration_data"] - - # initialize dictionaries - if sr not in calibration_data.keys(): - calibration_data[sr] = {} - if f not in calibration_data[sr].keys(): - calibration_data[sr][f] = {} - calibration_data[sr][f][g] = cal_point - - # Create and return the Calibration object - return Calibration( - calibration["calibration_datetime"], - calibration_data, - calibration["clock_rate_lookup_by_sample_rate"], - calibration["calibration_frequency_divisions"], - ) diff --git a/scos_usrp/hardware/tests/resources/__init__.py b/scos_usrp/hardware/tests/resources/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/scos_usrp/hardware/tests/resources/utils.py b/scos_usrp/hardware/tests/resources/utils.py deleted file mode 100644 index 9fdafda..0000000 --- a/scos_usrp/hardware/tests/resources/utils.py +++ /dev/null @@ -1,80 +0,0 @@ -import datetime - -from scos_usrp.hardware.calibration import Calibration - - -def easy_gain(sample_rate, frequency, gain): - """Create an easily interpolated calibration gain value for testing. - - :type sample_rate: float - :param sample_rate: Sample rate in samples per second - - :type frequency: float - :param frequency: Frequency in hertz - - :type gain: int - :param gain: Signal analyzer gain setting in dB - - :rtype: float - """ - return (gain) + (sample_rate / 1e6) + (frequency / 1e9) - - -def is_close(a, b, tolerance): - """Handle floating point comparisons""" - return abs(a - b) <= tolerance - - -def create_dummy_calibration(empty_cal=False): - """Create a dummy calibration object""" - - # Define the calibration file steps - sample_rates = [10e6, 15.36e6, 40e6] - clock_frequencies = [40e6, 30.72e6, 40e6] - gains = [20, 40, 60] - frequencies = [1e9, 2e9, 3e9, 4e9] - - # Create the datetime - calibration_datetime = "{}Z".format(datetime.datetime.utcnow().isoformat()) - - # Create the sample/clock rate lookup - calibration_sample_clock_rate_lookup = [] - for i in range(len(sample_rates)): - calibration_sample_clock_rate_lookup.append( - { - "sample_rate": int(sample_rates[i]), - "clock_frequency": int(clock_frequencies[i]), - } - ) - - # Create the frequency divisions - calibration_frequency_divisions = [] - - # Create the actual data if not an empty cal file - calibration_data = {} - if not empty_cal: - for sr in sample_rates: - for f in frequencies: - for g in gains: - # initialize dictionaries - if sr not in calibration_data.keys(): - calibration_data[sr] = {} - if f not in calibration_data[sr].keys(): - calibration_data[sr][f] = {} - calibration_data[sr][f][g] = { - "gain_sigan": easy_gain(sr, f, g), - "gain_preselector": -10, - "gain_sensor": easy_gain(sr, f, g) - 10, - "1db_compression_sensor": 1, - } - else: # Create an empty calibration file - calibration_data = { # Empty calibration file data - 10e6: {1e9: {40: {}, 60: {}}, 2e9: {40: {}, 60: {}}} - } - - return Calibration( - calibration_datetime, - calibration_data, - calibration_sample_clock_rate_lookup, - calibration_frequency_divisions, - ) diff --git a/scos_usrp/hardware/tests/test_calibration.py b/scos_usrp/hardware/tests/test_calibration.py deleted file mode 100644 index 94447e6..0000000 --- a/scos_usrp/hardware/tests/test_calibration.py +++ /dev/null @@ -1,574 +0,0 @@ -"""Test aspects of ScaleFactors.""" - -import datetime -import json -import random -from copy import deepcopy - -import pytest - -from scos_usrp.hardware import calibration -from scos_usrp.hardware.tests.resources.utils import easy_gain, is_close - - -class TestCalibrationFile: - # Ensure we load the test file - setup_complete = False - - def rand_index(self, l): - """Get a random index for a list""" - return random.randint(0, len(l) - 1) - - def check_duplicate(self, sr, f, g): - """Check if a set of points was already tested""" - for pt in self.pytest_points: - duplicate_f = f == pt["frequency"] - duplicate_g = g == pt["gain"] - duplicate_sr = sr == pt["sample_rate"] - if duplicate_f and duplicate_g and duplicate_sr: - return True - - def run_pytest_point(self, sr, f, g, reason, sr_m=False, f_m=False, g_m=False): - """Test the calculated value against the algorithm - Parameters: - sr, f, g -> Set values for the mock USRP - reason: Test case string for failure reference - sr_m, f_m, g_m -> Set values to use when calculating the expected value - May differ in from actual set points in edge cases - such as tuning in divisions or uncalibrated sample rate""" - # Check that the setup was completed - assert self.setup_complete, "Setup was not completed" - - # If this point was tested before, skip it (triggering a new one) - if self.check_duplicate(sr, f, g): - return False - - # If the point doesn't have modified inputs, use the algorithm ones - if not f_m: - f_m = f - if not g_m: - g_m = g - if not sr_m: - sr_m = sr - - # Calculate what the scale factor should be - calc_gain_sigan = easy_gain(sr_m, f_m, g_m) - - # Get the scale factor from the algorithm - interp_cal_data = self.sample_cal.get_calibration_dict(sr, f, g) - interp_gain_siggan = interp_cal_data["gain_sigan"] - - # Save the point so we don't duplicate - self.pytest_points.append( - { - "sample_rate": int(sr), - "frequency": f, - "gain": g, - "gain_sigan": calc_gain_sigan, - "test": reason, - } - ) - - # Check if the point was calculated correctly - tolerance = 1e-5 - msg = "Scale factor not correctly calculated!\r\n" - msg = "{} Expected value: {}\r\n".format(msg, calc_gain_sigan) - msg = "{} Calculated value: {}\r\n".format(msg, interp_gain_siggan) - msg = "{} Tolerance: {}\r\n".format(msg, tolerance) - msg = "{} Test: {}\r\n".format(msg, reason) - msg = "{} Sample Rate: {}({})\r\n".format(msg, sr / 1e6, sr_m / 1e6) - msg = "{} Frequency: {}({})\r\n".format(msg, f / 1e6, f_m / 1e6) - msg = "{} Gain: {}({})\r\n".format(msg, g, g_m) - msg = ( - "{} Formula: -1 * (Gain - Frequency[GHz] - Sample Rate[MHz])\r\n".format( - msg - ) - ) - assert is_close(calc_gain_sigan, interp_gain_siggan, tolerance), msg - return True - - @pytest.fixture(autouse=True) - def setup_calibration_file(self, tmpdir): - """Create the dummy calibration file in the pytest temp directory""" - - # Only setup once - if self.setup_complete: - return - - # Create and save the temp directory and file - self.tmpdir = tmpdir.strpath - self.calibration_file = "{}".format(tmpdir.join("dummy_cal_file.json")) - - # Setup variables - self.dummy_noise_figure = 10 - self.dummy_compression = -20 - self.test_repeat_times = 3 - - # Sweep variables - self.sample_rates = [10e6, 15.36e6, 40e6] - self.gain_min = 40 - self.gain_max = 60 - self.gain_step = 10 - gains = list(range(self.gain_min, self.gain_max, self.gain_step)) + [ - self.gain_max - ] - self.frequency_min = 1000000000 - self.frequency_max = 3400000000 - self.frequency_step = 200000000 - frequencies = list( - range(self.frequency_min, self.frequency_max, self.frequency_step) - ) + [self.frequency_max] - self.frequency_divisions = [[1299990000, 1300000000], [2199990000, 2200000000]] - for div in self.frequency_divisions: - if div[0] not in frequencies: - frequencies.append(div[0]) - if div[1] not in frequencies: - frequencies.append(div[1]) - frequencies = sorted(frequencies) - - # Start with blank cal data dicts - cal_data = {} - - # Add the simple stuff to new cal format - cal_data["calibration_datetime"] = "{}Z".format( - datetime.datetime.utcnow().isoformat() - ) - cal_data["sensor_uid"] = "SAMPLE_CALIBRATION" - - # Add the frequency divisions to the calibration data - cal_data["calibration_frequency_divisions"] = [] - for div in self.frequency_divisions: - cal_data["calibration_frequency_divisions"].append( - {"lower_bound": div[0], "upper_bound": div[1]} - ) - - # Add SR/CF lookup table - cal_data["clock_rate_lookup_by_sample_rate"] = [] - for sr in self.sample_rates: - cr = sr - while cr <= 40e6: - cr *= 2 - cr /= 2 - cal_data["clock_rate_lookup_by_sample_rate"].append( - {"sample_rate": int(sr), "clock_frequency": int(cr)} - ) - - # Create the JSON architecture for the calibration data - cal_data["calibration_data"] = {} - cal_data["calibration_data"]["sample_rates"] = [] - for k in range(len(self.sample_rates)): - cal_data_sr = {} - cal_data_sr["sample_rate"] = self.sample_rates[k] - cal_data_sr["calibration_data"] = {} - cal_data_sr["calibration_data"]["frequencies"] = [] - for i in range(len(frequencies)): - cal_data_f = {} - cal_data_f["frequency"] = frequencies[i] - cal_data_f["calibration_data"] = {} - cal_data_f["calibration_data"]["gains"] = [] - for j in range(len(gains)): - cal_data_g = {} - cal_data_g["gain"] = gains[j] - - # Create the scale factor that ensures easy interpolation - gain_sigan = easy_gain( - self.sample_rates[k], frequencies[i], gains[j] - ) - - # Create the data point - cal_data_point = { - "gain_sigan": gain_sigan, - "noise_figure_sigan": self.dummy_noise_figure, - "1dB_compression_sigan": self.dummy_compression, - } - - # Add the generated dicts to the parent lists - cal_data_g["calibration_data"] = deepcopy(cal_data_point) - cal_data_f["calibration_data"]["gains"].append(deepcopy(cal_data_g)) - cal_data_sr["calibration_data"]["frequencies"].append( - deepcopy(cal_data_f) - ) - cal_data["calibration_data"]["sample_rates"].append(deepcopy(cal_data_sr)) - - # Write the new json file - with open(self.calibration_file, "w+") as file: - json.dump(cal_data, file, indent=4) - - # Load the data back in - self.sample_cal = calibration.load_from_json(self.calibration_file) - - # Create a list of previous points to ensure that we don't repeat - self.pytest_points = [] - - # Create sweep lists for test points - self.srs = self.sample_rates - self.gi_s = list(range(self.gain_min, self.gain_max, self.gain_step)) - self.fi_s = list( - range(self.frequency_min, self.frequency_max, self.frequency_step) - ) - self.g_s = self.gi_s + [self.gain_max] - self.f_s = self.fi_s + [self.frequency_max] - - # Get a list of division frequencies - self.div_fs = [] - for div in self.frequency_divisions: - self.div_fs.append(div[0]) - self.div_fs.append(div[1]) - for f in self.div_fs: - if f in self.f_s: - self.f_s.remove(f) - - # Don't repeat test setup - self.setup_complete = True - - def test_sf_bound_points(self): - """Test SF determination at boundary points""" - self.run_pytest_point( - self.srs[0], self.frequency_min, self.gain_min, "Testing boundary points" - ) - self.run_pytest_point( - self.srs[0], self.frequency_max, self.gain_max, "Testing boundary points" - ) - - def test_sf_no_interpolation_points(self): - """Test points without interpolation""" - for i in range(4 * self.test_repeat_times): - while True: - g = self.g_s[self.rand_index(self.g_s)] - f = self.f_s[self.rand_index(self.f_s)] - if self.run_pytest_point( - self.srs[0], f, g, "Testing no interpolation points" - ): - break - - def test_sf_f_interpolation_points(self): - """Test points with frequency interpolation only""" - for i in range(4 * self.test_repeat_times): - while True: - g = self.g_s[self.rand_index(self.g_s)] - f = self.fi_s[self.rand_index(self.fi_s)] - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - if self.run_pytest_point( - self.srs[0], f + f_add, g, "Testing frequency interpolation points" - ): - break - - def test_sf_g_interpolation_points(self): - """Test points with gain interpolation only""" - for i in range(4 * self.test_repeat_times): - while True: - g = self.gi_s[self.rand_index(self.gi_s)] - f = self.f_s[self.rand_index(self.f_s)] - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], f, g + g_add, "Testing gain interpolation points" - ): - break - - def test_sf_g_f_interpolation_points(self): - """Test points with frequency and gain interpolation only""" - for i in range(4 * self.test_repeat_times): - while True: - g = self.gi_s[self.rand_index(self.gi_s)] - f = self.fi_s[self.rand_index(self.fi_s)] - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f + f_add, - g + g_add, - "Testing frequency and gain interpolation points", - ): - break - - def test_g_fudge_points(self): - """Test points with a gain fudge factor""" - for i in range(2 * self.test_repeat_times): - while True: - g = self.gain_min - f = self.f_s[self.rand_index(self.f_s)] - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], f, g - g_add, "Testing gain fudge points" - ): - break - while True: - g = self.gain_max - f = self.f_s[self.rand_index(self.f_s)] - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], f, g + g_add, "Testing gain fudge points" - ): - break - - def test_g_fudge_f_interpolation_points(self): - """Test points with a gain fudge factor and frequency interpolation""" - for i in range(2 * self.test_repeat_times): - while True: - g = self.gain_min - f = self.fi_s[self.rand_index(self.fi_s)] - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f + f_add, - g - g_add, - "Testing gain fudge with frequency interpolation points", - ): - break - while True: - g = self.gain_max - f = self.fi_s[self.rand_index(self.fi_s)] - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f + f_add, - g + g_add, - "Testing gain fudge with frequency interpolation points", - ): - break - - def test_g_fudge_f_oob_points(self): - """Test points with a gain fudge factor and out-of-bound frequencies""" - for i in range(self.test_repeat_times): - while True: - g = self.gain_min - f = self.frequency_min - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f - f_add, - g - g_add, - "Testing gain fudge with out-of-bound frequency points", - f_m=f, - ): - break - while True: - g = self.gain_max - f = self.frequency_min - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f - f_add, - g + g_add, - "Testing gain fudge with out-of-bound frequency points", - f_m=f, - ): - break - while True: - g = self.gain_max - f = self.frequency_max - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f + f_add, - g + g_add, - "Testing gain fudge with out-of-bound frequency points", - f_m=f, - ): - break - while True: - g = self.gain_min - f = self.frequency_max - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f + f_add, - g - g_add, - "Testing gain fudge with out-of-bound frequency points", - f_m=f, - ): - break - - def test_g_interpolation_f_oob_points(self): - """Test points with gain interpolation and out-of-bound frequencies""" - for i in range(2 * self.test_repeat_times): - while True: - g = self.gi_s[self.rand_index(self.gi_s)] - f = self.frequency_min - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f - f_add, - g + g_add, - "Testing out-of-bound frequency with gain interpolation points", - f_m=f, - ): - break - while True: - g = self.gi_s[self.rand_index(self.gi_s)] - f = self.frequency_max - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f + f_add, - g + g_add, - "Testing out-of-bound frequency with gain interpolation points", - f_m=f, - ): - break - - def test_f_oob_points(self): - """Test points with out-of-bound frequencies""" - for i in range(2 * self.test_repeat_times): - while True: - g = self.g_s[self.rand_index(self.g_s)] - f = self.frequency_min - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - if self.run_pytest_point( - self.srs[0], - f - f_add, - g, - "Testing out-of-bound frequency points", - f_m=f, - ): - break - while True: - g = self.g_s[self.rand_index(self.g_s)] - f = self.frequency_max - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - if self.run_pytest_point( - self.srs[0], - f + f_add, - g, - "Testing out-of-bound frequency points", - f_m=f, - ): - break - - def test_division_f_points(self): - """Test points with division frequencies""" - for i in range(self.test_repeat_times): - for f in self.div_fs: - while True: - g = self.g_s[self.rand_index(self.g_s)] - if self.run_pytest_point( - self.srs[0], f, g, "Testing division frequency points" - ): - break - - def test_g_interpolation_division_f_points(self): - """Test points with gain interpolation and division frequencies""" - for i in range(self.test_repeat_times): - for f in self.div_fs: - while True: - g = self.gi_s[self.rand_index(self.gi_s)] - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f, - g + g_add, - "Testing division frequency with gain interpolation points", - ): - break - - def test_g_fudge_division_f_points(self): - """Test points with gain fudge and division frequencies""" - for i in range(self.test_repeat_times): - for f in self.div_fs: - while True: - g = self.gain_max - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f, - g + g_add, - "Testing division frequency with gain fudge points", - ): - break - - def test_in_division_f_points(self): - """Test points with in-division frequencies""" - for j in range(self.test_repeat_times): - for i in range(0, len(self.div_fs), 2): - while True: - f = random.randint(self.div_fs[i] + 1, self.div_fs[i + 1] - 1) - g = self.g_s[self.rand_index(self.g_s)] - if self.run_pytest_point( - self.srs[0], - f, - g, - "Testing within division frequency points", - f_m=self.div_fs[i], - ): - break - - def test_g_interpolation_in_division_f_points(self): - """Test points with gain interpolation and in-division frequencies""" - for j in range(self.test_repeat_times): - for i in range(0, len(self.div_fs), 2): - while True: - f = random.randint(self.div_fs[i] + 1, self.div_fs[i + 1] - 1) - g = self.gi_s[self.rand_index(self.gi_s)] - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f, - g + g_add, - "Testing within division frequency with gain interpolation points", - f_m=self.div_fs[i], - ): - break - - def test_g_fudge_in_division_f_points(self): - """Test points with gain fudge and in-division frequencies""" - for j in range(self.test_repeat_times): - for i in range(0, len(self.div_fs), 2): - while True: - f = random.randint(self.div_fs[i] + 1, self.div_fs[i + 1] - 1) - g = self.gain_max - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[0], - f, - g + g_add, - "Testing within division frequency with gain fudge points", - f_m=self.div_fs[i], - ): - break - - def test_sample_rate_points(self): - """Test points with gain and frequency interpolation at different sample rates""" - for j in range(self.test_repeat_times): - for i in range(len(self.srs)): - while True: - g = self.gi_s[self.rand_index(self.gi_s)] - f = self.fi_s[self.rand_index(self.fi_s)] - f_add = ( - random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - ) - g_add = random.randint(1, self.gain_step - 1) - if self.run_pytest_point( - self.srs[i], - f + f_add, - g + g_add, - "Testing different sample rate points", - ): - break - - def test_uncalibrated_sample_rate_points(self): - """Test points with gain and frequency interpolation at uncalibrated sample rates""" - for i in range(4 * self.test_repeat_times): - while True: - g = self.gi_s[self.rand_index(self.gi_s)] - f = self.fi_s[self.rand_index(self.fi_s)] - f_add = random.randint(1, int(self.frequency_step / 10e6) - 1) * 10e6 - g_add = random.randint(1, self.gain_step - 1) - sr = 1e6 * random.randint(1, 40) - if int(sr) in self.srs: - continue - if self.run_pytest_point( - sr, - f + f_add, - g + g_add, - "Testing uncalibrated sample rate points", - sr_m=self.srs[0], - ): - break diff --git a/scos_usrp/hardware/usrp_sigan.py b/scos_usrp/hardware/usrp_sigan.py index 95e0561..3cd6a23 100644 --- a/scos_usrp/hardware/usrp_sigan.py +++ b/scos_usrp/hardware/usrp_sigan.py @@ -17,11 +17,12 @@ import numpy as np from scos_actions import utils from scos_actions.hardware.sigan_iface import SignalAnalyzerInterface +from scos_actions.actions import sensor_calibration +from scos_actions.actions import sigan_calibration from scos_usrp import settings -from scos_usrp.hardware import calibration from scos_usrp.hardware.mocks.usrp_block import MockUsrp -from scos_usrp.hardware.tests.resources.utils import create_dummy_calibration + logger = logging.getLogger(__name__) logger.debug(f"USRP_CONNECTION_ARGS = {settings.USRP_CONNECTION_ARGS}") @@ -30,34 +31,15 @@ # dynamic range performance VALID_GAINS = (0, 20, 40, 60) -# Define the default calibration dicts -DEFAULT_SIGAN_CALIBRATION = { - "gain_sigan": None, # Defaults to gain setting - "enbw_sigan": None, # Defaults to sample rate - "noise_figure_sigan": 0, - "1db_compression_sigan": 100, -} - -DEFAULT_SENSOR_CALIBRATION = { - "gain_sensor": None, # Defaults to sigan gain - "enbw_sensor": None, # Defaults to sigan enbw - "noise_figure_sensor": None, # Defaults to sigan noise figure - "1db_compression_sensor": None, # Defaults to sigan compression + preselector gain - "gain_preselector": 0, - "noise_figure_preselector": 0, - "1db_compression_preselector": 100, -} - class USRPSignalAnalyzer(SignalAnalyzerInterface): @property def last_calibration_time(self): """Returns the last calibration time from calibration data.""" - if self.sensor_calibration: - return utils.convert_string_to_millisecond_iso_format( - self.sensor_calibration.calibration_datetime - ) - return None + return utils.convert_string_to_millisecond_iso_format( + sensor_calibration.calibration_datetime + ) + @property def overload(self): @@ -70,28 +52,18 @@ def overload(self): 0.01 # Ratio of samples above the ADC full range to trigger overload ) - def __init__( - self, - sensor_cal_file=settings.SENSOR_CALIBRATION_FILE, - sigan_cal_file=settings.SIGAN_CALIBRATION_FILE, - ): + def __init__(self): + super().__init__() self.uhd = None self.usrp = None self._is_available = False - - self.sensor_calibration_data = None - self.sigan_calibration_data = None - self.sensor_calibration = None - self.sigan_calibration = None - self.lo_freq = None self.dsp_freq = None self._sigan_overload = False self._sensor_overload = False self._capture_time = None - self.connect() - self.get_calibration(sensor_cal_file, sigan_cal_file) + def connect(self): if self._is_available: @@ -138,33 +110,6 @@ def is_available(self): """Returns True if initialized and ready to make measurements, otherwise returns False.""" return self._is_available - def get_calibration(self, sensor_cal_file, sigan_cal_file): - """Get calibration data from sensor_cal_file and sigan_cal_file.""" - # Set the default calibration values - self.sensor_calibration_data = DEFAULT_SENSOR_CALIBRATION.copy() - self.sigan_calibration_data = DEFAULT_SIGAN_CALIBRATION.copy() - - # Try and load sensor/sigan calibration data - if not settings.RUNNING_TESTS and not settings.MOCK_SIGAN: - try: - self.sensor_calibration = calibration.load_from_json(sensor_cal_file) - except Exception as err: - logger.error( - "Unable to load sensor calibration data, reverting to none" - ) - logger.exception(err) - self.sensor_calibration = None - try: - self.sigan_calibration = calibration.load_from_json(sigan_cal_file) - except Exception as err: - logger.error("Unable to load sigan calibration data, reverting to none") - logger.exception(err) - self.sigan_calibration = None - else: # If in testing, create our own test files - dummy_calibration = create_dummy_calibration() - self.sensor_calibration = dummy_calibration - self.sigan_calibration = dummy_calibration - @property def sample_rate(self): """Returns the currently configured sample rate in samples per second.""" @@ -181,8 +126,8 @@ def sample_rate(self, rate): fs_MSps = self.sample_rate / 1e6 logger.debug("set USRP sample rate: {:.2f} MSps".format(fs_MSps)) # Set the clock rate based on calibration - if self.sigan_calibration is not None: - clock_rate = self.sigan_calibration.get_clock_rate(rate) + if sigan_calibration is not None: + clock_rate = sigan_calibration.get_clock_rate(rate) else: clock_rate = self.sample_rate # Maximize clock rate while keeping it under 40e6 @@ -264,55 +209,7 @@ def gain(self, gain): msg = "set USRP gain: {:.1f} dB" logger.debug(msg.format(self.usrp.get_rx_gain())) - def recompute_calibration_data(self): - """Set the calibration data based on the currently tuning""" - - # Try and get the sensor calibration data - self.sensor_calibration_data = DEFAULT_SENSOR_CALIBRATION.copy() - if self.sensor_calibration is not None: - self.sensor_calibration_data.update( - self.sensor_calibration.get_calibration_dict( - sample_rate=self.sample_rate, - lo_frequency=self.frequency, - gain=self.gain, - ) - ) - - # Try and get the sigan calibration data - self.sigan_calibration_data = DEFAULT_SIGAN_CALIBRATION.copy() - if self.sigan_calibration is not None: - self.sigan_calibration_data.update( - self.sigan_calibration.get_calibration_dict( - sample_rate=self.sample_rate, - lo_frequency=self.frequency, - gain=self.gain, - ) - ) - # Catch any defaulting calibration values for the sigan - if self.sigan_calibration_data["gain_sigan"] is None: - self.sigan_calibration_data["gain_sigan"] = self.gain - if self.sigan_calibration_data["enbw_sigan"] is None: - self.sigan_calibration_data["enbw_sigan"] = self.sample_rate - - # Catch any defaulting calibration values for the sensor - if self.sensor_calibration_data["gain_sensor"] is None: - self.sensor_calibration_data["gain_sensor"] = self.sigan_calibration_data[ - "gain_sigan" - ] - if self.sensor_calibration_data["enbw_sensor"] is None: - self.sensor_calibration_data["enbw_sensor"] = self.sigan_calibration_data[ - "enbw_sigan" - ] - if self.sensor_calibration_data["noise_figure_sensor"] is None: - self.sensor_calibration_data[ - "noise_figure_sensor" - ] = self.sigan_calibration_data["noise_figure_sigan"] - if self.sensor_calibration_data["1db_compression_sensor"] is None: - self.sensor_calibration_data["1db_compression_sensor"] = ( - self.sensor_calibration_data["gain_preselector"] - + self.sigan_calibration_data["1db_compression_sigan"] - ) def create_calibration_annotation(self): """Creates the SigMF calibration annotation.""" diff --git a/scos_usrp/settings.py b/scos_usrp/settings.py index 8c59ceb..e386a20 100644 --- a/scos_usrp/settings.py +++ b/scos_usrp/settings.py @@ -9,16 +9,6 @@ CONFIG_DIR = path.join(path.dirname(path.abspath(__file__)), "configs") ACTION_DEFINITIONS_DIR = path.join(CONFIG_DIR, "actions") - -if not settings.configured or not hasattr(settings, "SIGAN_CALIBRATION_FILE"): - SIGAN_CALIBRATION_FILE = path.join(CONFIG_DIR, "sigan_calibration.json.example") -else: - SIGAN_CALIBRATION_FILE = settings.SIGAN_CALIBRATION_FILE -if not settings.configured or not hasattr(settings, "SENSOR_CALIBRATION_FILE"): - SENSOR_CALIBRATION_FILE = path.join(CONFIG_DIR, "sensor_calibration.json.example") -else: - SENSOR_CALIBRATION_FILE = settings.SENSOR_CALIBRATION_FILE - __cmd = path.split(sys.argv[0])[-1] RUNNING_TESTS = "test" in __cmd From 83ca181feeda5b92d07ea3c93d33cac520dfcf7b Mon Sep 17 00:00:00 2001 From: dboulware Date: Tue, 19 Apr 2022 12:17:07 -0600 Subject: [PATCH 02/13] import cals from scos_actions.settings --- scos_usrp/hardware/usrp_sigan.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/scos_usrp/hardware/usrp_sigan.py b/scos_usrp/hardware/usrp_sigan.py index 3cd6a23..2129b3f 100644 --- a/scos_usrp/hardware/usrp_sigan.py +++ b/scos_usrp/hardware/usrp_sigan.py @@ -17,8 +17,8 @@ import numpy as np from scos_actions import utils from scos_actions.hardware.sigan_iface import SignalAnalyzerInterface -from scos_actions.actions import sensor_calibration -from scos_actions.actions import sigan_calibration +from scos_actions.settings import sensor_calibration +from scos_actions.settings import sigan_calibration from scos_usrp import settings from scos_usrp.hardware.mocks.usrp_block import MockUsrp From 0bd2aa16bc76aed528059c168fdf7e223af1ea34 Mon Sep 17 00:00:00 2001 From: dboulware Date: Wed, 20 Apr 2022 07:49:29 -0600 Subject: [PATCH 03/13] requirements update --- requirements-dev.txt | 2 +- requirements.txt | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements-dev.txt b/requirements-dev.txt index 4ed043d..5a95ce3 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -117,7 +117,7 @@ scipy==1.7.3 # via # -r requirements.txt # scos-actions -scos_actions @ git+https://github.com/NTIA/scos-actions@1.0.0 +scos_actions @ git+https://github.com/NTIA/scos-actions@calibration # via -r requirements.txt sigmf @ git+https://github.com/NTIA/SigMF.git@multi-recording-archive # via diff --git a/requirements.txt b/requirements.txt index 9e0d1b2..4dd9288 100644 --- a/requirements.txt +++ b/requirements.txt @@ -46,7 +46,7 @@ ruamel-yaml-clib==0.2.6 # via ruamel-yaml scipy==1.7.3 # via scos-actions -scos_actions @ git+https://github.com/NTIA/scos-actions@1.0.0 +scos_actions @ git+https://github.com/NTIA/scos-actions@calibration # via -r requirements.in sigmf @ git+https://github.com/NTIA/SigMF.git@multi-recording-archive # via scos-actions From 19510d5518f597c21021e7c67d64373e4a78a7e7 Mon Sep 17 00:00:00 2001 From: dboulware Date: Wed, 20 Apr 2022 08:08:14 -0600 Subject: [PATCH 04/13] Updated cal example files --- .../configs/sensor_calibration.json.example | 3994 +- .../configs/sigan_calibration.json.example | 69714 ++++++++-------- 2 files changed, 36854 insertions(+), 36854 deletions(-) diff --git a/scos_usrp/configs/sensor_calibration.json.example b/scos_usrp/configs/sensor_calibration.json.example index aa4f8b2..4e7c965 100644 --- a/scos_usrp/configs/sensor_calibration.json.example +++ b/scos_usrp/configs/sensor_calibration.json.example @@ -1,1997 +1,1997 @@ -{ - "calibration_datetime": "2019-09-20T02:03:38.967055Z", - "calibration_data": { - "sample_rates": [ - { - "calibration_data": { - "frequencies": [ - { - "calibration_data": { - "gains": [ - { - "calibration_data": { - "enbw_sensor": 8647759.416132875, - "noise_figure_sensor": 63.41318984193854, - "gain_sensor": -11.4609954908858, - "noise_figure_preselector": 53.84375778724545, - "1db_compression_preselector": 100.0, - "gain_preselector": -53.52288239232973, - "1db_compression_sensor": 22.88826982982973 - }, - "gain": 40.0 - }, - { - "calibration_data": { - "enbw_sensor": 8647759.416132875, - "noise_figure_sensor": 43.936313078858596, - "gain_sensor": 24.21453104658883, - "noise_figure_preselector": 0.0, - "1db_compression_preselector": 100.0, - "gain_preselector": -37.668526285791565, - "1db_compression_sensor": -12.01558627670844 - }, - "gain": 60.0 - } - ] - }, - "frequency": 650000000.0 - }, - { - "calibration_data": { - "gains": [ - { - "calibration_data": { - "enbw_sensor": 8647759.416132875, - "noise_figure_sensor": 55.60600295988542, - "gain_sensor": -3.2419118232375297, - "noise_figure_preselector": 43.896824420057754, - "1db_compression_preselector": 100.0, - "gain_preselector": -45.45918238856349, - "1db_compression_sensor": 14.815411445163491 - }, - "gain": 40.0 - }, - { - "calibration_data": { - "enbw_sensor": 8647759.416132875, - "noise_figure_sensor": 32.2556068936354, - "gain_sensor": 36.7974615682031, - "noise_figure_preselector": 0.0, - "1db_compression_preselector": 100.0, - "gain_preselector": -25.297182873727742, - "1db_compression_sensor": -24.395188069672265 - }, - "gain": 60.0 - } - ] - }, - "frequency": 660000000.0 - }, - { - "calibration_data": { - "gains": [ - { - "calibration_data": { - "enbw_sensor": 8647759.416132875, - "noise_figure_sensor": 62.13136963661786, - "gain_sensor": -10.243856291137682, - "noise_figure_preselector": 50.134820134145635, - "1db_compression_preselector": 100.0, - "gain_preselector": -52.42376151808989, - "1db_compression_sensor": 21.770832193789886 - }, - "gain": 40.0 - }, - { - "calibration_data": { - "enbw_sensor": 8647759.416132875, - "noise_figure_sensor": 41.16137774510788, - "gain_sensor": 26.85647212536859, - "noise_figure_preselector": 29.26633587609605, - "1db_compression_preselector": 100.0, - "gain_preselector": -35.15173909017145, - "1db_compression_sensor": -14.54889023412855 - }, - "gain": 60.0 - } - ] - }, - "frequency": 670000000.0 - }, - { - "calibration_data": { - "gains": [ - { - "calibration_data": { - "enbw_sensor": 8647759.416132875, - "noise_figure_sensor": 54.65809352003993, - "gain_sensor": -2.5396624540789503, - "noise_figure_preselector": 0.0, - "1db_compression_preselector": 100.0, - "gain_preselector": -44.71340619028524, - 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15360000.0, + "clock_frequency": 30720000.0 + }, + { + "sample_rate": 40000000.0, + "clock_frequency": 40000000.0 + } + ], + "sensor_uid": "DEFAULT" +} diff --git a/scos_usrp/configs/sigan_calibration.json.example b/scos_usrp/configs/sigan_calibration.json.example index ace9c43..6b1caea 100644 --- a/scos_usrp/configs/sigan_calibration.json.example +++ b/scos_usrp/configs/sigan_calibration.json.example @@ -1,34857 +1,34857 @@ -{ - "calibration_datetime": "2019-09-20T02:03:38.967055Z", - "calibration_data": { - "sample_rates": [ - { - "calibration_data": { - "frequencies": [ - { - "calibration_data": { - "gains": [ - { - "calibration_data": { - "1db_compression_sigan": -30.24344985, - "gain_sigan": 42.352148198698444, - "noise_figure_sigan": 9.85601791688, - "enbw_sigan": 9410000.0 - }, - "gain": 40.0 - }, - { - "calibration_data": { - "1db_compression_sigan": -49.268449849999996, - "gain_sigan": 61.58304756372051, - "noise_figure_sigan": 7.27119611771, - "enbw_sigan": 9410000.0 - }, - 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"1db_compression_sigan": -19.73888132, + "gain_sigan": 31.430144864883445, + "noise_figure_sigan": 16.8551351248, + "enbw_sigan": 35437000.0 + }, + "setting_value": 40.0 + }, + { + "calibration_data": { + "1db_compression_sigan": -39.70388132, + "gain_sigan": 52.24127865966012, + "noise_figure_sigan": 11.5727479008, + "enbw_sigan": 35437000.0 + }, + "setting_value": 60.0 + } + ] + }, + "frequency": 4900000000.0 + }, + { + "calibration_data": { + "setting_values": [ + { + "calibration_data": { + "1db_compression_sigan": -19.6862134737, + "gain_sigan": 31.52898926522242, + "noise_figure_sigan": 16.722873143, + "enbw_sigan": 35437000.0 + }, + "setting_value": 40.0 + }, + { + "calibration_data": { + "1db_compression_sigan": -39.66051347370001, + "gain_sigan": 52.35125302273848, + "noise_figure_sigan": 11.4783437353, + "enbw_sigan": 35437000.0 + }, + "setting_value": 60.0 + } + ] + }, + "frequency": 4910000000.0 + }, + { + "calibration_data": { + "setting_values": [ + { + "calibration_data": { + "1db_compression_sigan": -19.6335456274, + "gain_sigan": 31.423675400898382, + "noise_figure_sigan": 16.8027501739, + "enbw_sigan": 35437000.0 + }, + "setting_value": 40.0 + }, + { + "calibration_data": { + "1db_compression_sigan": -39.6171456274, + "gain_sigan": 52.218901083843335, + "noise_figure_sigan": 11.5563334702, + "enbw_sigan": 35437000.0 + }, + "setting_value": 60.0 + } + ] + }, + "frequency": 4920000000.0 + }, + { + "calibration_data": { + "setting_values": [ + { + "calibration_data": { + "1db_compression_sigan": -19.5808777811, + "gain_sigan": 31.09382557796308, + "noise_figure_sigan": 17.1758324151, + "enbw_sigan": 35437000.0 + }, + "setting_value": 40.0 + }, + { + "calibration_data": { + "1db_compression_sigan": -39.5737777811, + "gain_sigan": 51.86535045433121, + "noise_figure_sigan": 11.9092090303, + "enbw_sigan": 35437000.0 + }, + "setting_value": 60.0 + } + ] + }, + "frequency": 4930000000.0 + }, + { + "calibration_data": { + "setting_values": [ + { + "calibration_data": { + "1db_compression_sigan": -19.528209934800003, + "gain_sigan": 31.15656421854787, + "noise_figure_sigan": 17.0824846331, + "enbw_sigan": 35437000.0 + }, + "setting_value": 40.0 + }, + { + "calibration_data": { + "1db_compression_sigan": -39.5304099348, + "gain_sigan": 51.964504104187036, + "noise_figure_sigan": 11.767854809, + "enbw_sigan": 35437000.0 + }, + "setting_value": 60.0 + } + ] + }, + "frequency": 4940000000.0 + }, + { + "calibration_data": { + "setting_values": [ + { + "calibration_data": { + "1db_compression_sigan": -19.4755420885, + "gain_sigan": 31.402722953214194, + "noise_figure_sigan": 16.8932516092, + "enbw_sigan": 35437000.0 + }, + "setting_value": 40.0 + }, + { + "calibration_data": { + "1db_compression_sigan": -39.487042088500004, + "gain_sigan": 52.12749746817521, + "noise_figure_sigan": 11.5936094505, + "enbw_sigan": 35437000.0 + }, + "setting_value": 60.0 + } + ] + }, + "frequency": 4950000000.0 + }, + { + "calibration_data": { + "setting_values": [ + { + "calibration_data": { + "1db_compression_sigan": -19.422874242200002, + "gain_sigan": 31.454846889879306, + "noise_figure_sigan": 16.9076823579, + "enbw_sigan": 35437000.0 + }, + "setting_value": 40.0 + }, + { + "calibration_data": { + "1db_compression_sigan": -39.443674242200004, + "gain_sigan": 52.155428340454044, + "noise_figure_sigan": 11.6421209357, + "enbw_sigan": 35437000.0 + }, + "setting_value": 60.0 + } + ] + }, + "frequency": 4960000000.0 + }, + { + "calibration_data": { + "setting_values": [ + { + "calibration_data": { + "1db_compression_sigan": -19.3702063959, + "gain_sigan": 31.548616081367967, + "noise_figure_sigan": 16.8781419099, + "enbw_sigan": 35437000.0 + }, + "setting_value": 40.0 + }, + { + "calibration_data": { + "1db_compression_sigan": -39.4003063959, + "gain_sigan": 52.17626092303389, + "noise_figure_sigan": 12.0151270049, + "enbw_sigan": 35437000.0 + }, + "setting_value": 60.0 + } + ] + }, + "frequency": 4970000000.0 + }, + { + "calibration_data": { + "setting_values": [ + { + "calibration_data": { + "1db_compression_sigan": -19.317538549600002, + "gain_sigan": 31.46383530728371, + "noise_figure_sigan": 17.0818202062, + "enbw_sigan": 35437000.0 + }, + "setting_value": 40.0 + }, + { + "calibration_data": { + "1db_compression_sigan": -39.3569385496, + "gain_sigan": 52.13889334460342, + "noise_figure_sigan": 12.4131436391, + "enbw_sigan": 35437000.0 + }, + "setting_value": 60.0 + } + ] + }, + "frequency": 4980000000.0 + }, + { + "calibration_data": { + "setting_values": [ + { + "calibration_data": { + "1db_compression_sigan": -19.2648707033, + "gain_sigan": 31.042333166444507, + "noise_figure_sigan": 17.5038107957, + "enbw_sigan": 35437000.0 + }, + "setting_value": 40.0 + }, + { + "calibration_data": { + "1db_compression_sigan": -39.3135707033, + "gain_sigan": 51.645827388196466, + "noise_figure_sigan": 12.9886128324, + "enbw_sigan": 35437000.0 + }, + "setting_value": 60.0 + } + ] + }, + "frequency": 4990000000.0 + }, + { + "calibration_data": { + "setting_values": [ + { + "calibration_data": { + "1db_compression_sigan": -19.212202857, + "gain_sigan": 30.858949943080496, + "noise_figure_sigan": 17.6217065519, + "enbw_sigan": 35437000.0 + }, + "setting_value": 40.0 + }, + { + "calibration_data": { + "1db_compression_sigan": -39.270202857, + "gain_sigan": 51.49276212914914, + "noise_figure_sigan": 12.9205209256, + "enbw_sigan": 35437000.0 + }, + "setting_value": 60.0 + } + ] + }, + "frequency": 5000000000.0 + } + ] + }, + "sample_rate": 40000000.0 + } + ] + }, + "calibration_frequency_divisions": [ + { + "lower_bound": 1299999999, + "upper_bound": 1300000000 + }, + { + "lower_bound": 2199999998, + "upper_bound": 2200000000 + }, + { + "lower_bound": 3999999995, + "upper_bound": 4000000000 + } + ], + "clock_rate_lookup_by_sample_rate": [ + { + "sample_rate": 10000000.0, + "clock_frequency": 40000000.0 + }, + { + "sample_rate": 15360000.0, + "clock_frequency": 30720000.0 + }, + { + "sample_rate": 40000000.0, + "clock_frequency": 40000000.0 + } + ], + "sensor_uid": "DEFAULT" +} From 42729e7f93cba914843651b8c56ab81868a1f859 Mon Sep 17 00:00:00 2001 From: Doug Boulware Date: Fri, 20 May 2022 17:27:30 -0600 Subject: [PATCH 05/13] removed handling of calibration annotation and added gain_adjust flag to acquire_time_domain_samples --- scos_usrp/hardware/usrp_sigan.py | 40 +++++++------------------------- 1 file changed, 8 insertions(+), 32 deletions(-) diff --git a/scos_usrp/hardware/usrp_sigan.py b/scos_usrp/hardware/usrp_sigan.py index 3cd6a23..dc547fc 100644 --- a/scos_usrp/hardware/usrp_sigan.py +++ b/scos_usrp/hardware/usrp_sigan.py @@ -33,6 +33,7 @@ class USRPSignalAnalyzer(SignalAnalyzerInterface): + @property def last_calibration_time(self): """Returns the last calibration time from calibration data.""" @@ -209,33 +210,6 @@ def gain(self, gain): msg = "set USRP gain: {:.1f} dB" logger.debug(msg.format(self.usrp.get_rx_gain())) - - - def create_calibration_annotation(self): - """Creates the SigMF calibration annotation.""" - annotation_md = { - "ntia-core:annotation_type": "CalibrationAnnotation", - "ntia-sensor:gain_sigan": self.sigan_calibration_data["gain_sigan"], - "ntia-sensor:noise_figure_sigan": self.sigan_calibration_data[ - "noise_figure_sigan" - ], - "ntia-sensor:1db_compression_point_sigan": self.sigan_calibration_data[ - "1db_compression_sigan" - ], - "ntia-sensor:enbw_sigan": self.sigan_calibration_data["enbw_sigan"], - "ntia-sensor:gain_preselector": self.sensor_calibration_data[ - "gain_preselector" - ], - "ntia-sensor:noise_figure_sensor": self.sensor_calibration_data[ - "noise_figure_sensor" - ], - "ntia-sensor:1db_compression_point_sensor": self.sensor_calibration_data[ - "1db_compression_sensor" - ], - "ntia-sensor:enbw_sensor": self.sensor_calibration_data["enbw_sensor"], - } - return annotation_md - def check_sensor_overload(self, data): """Check for sensor overload in the measurement data.""" measured_data = data.astype(np.complex64) @@ -252,7 +226,7 @@ def check_sensor_overload(self, data): > self.sensor_calibration_data["1db_compression_sensor"] ) - def acquire_time_domain_samples(self, num_samples, num_samples_skip=0, retries=5): + def acquire_time_domain_samples(self, num_samples, num_samples_skip=0, retries=5,gain_adjust=True): """Acquire num_samples_skip+num_samples samples and return the last num_samples :type num_samples: int @@ -276,14 +250,17 @@ def acquire_time_domain_samples(self, num_samples, num_samples_skip=0, retries=5 self._sigan_overload = False self._capture_time = None # Get the calibration data for the acquisition - self.recompute_calibration_data() + calibration_args = [self.sample_rate, self.frequency, self.gain] + self.recompute_calibration_data(calibration_args) nsamps = int(num_samples) nskip = int(num_samples_skip) # Compute the linear gain db_gain = self.sensor_calibration_data["gain_sensor"] - linear_gain = 10 ** (db_gain / 20.0) - + if gain_adjust: + linear_gain = 10 ** (db_gain / 20.0) + else: + linear_gain = 1 # Try to acquire the samples max_retries = retries while True: @@ -343,7 +320,6 @@ def acquire_time_domain_samples(self, num_samples, num_samples_skip=0, retries=5 "gain": self.gain, "sample_rate": self.sample_rate, "capture_time": self._capture_time, - "calibration_annotation": self.create_calibration_annotation(), } return measurement_result From d136a2054e75ce2c215c4833ef6f836e2827d194 Mon Sep 17 00:00:00 2001 From: Doug Boulware Date: Wed, 22 Jun 2022 10:13:51 -0600 Subject: [PATCH 06/13] requirements.in --- requirements.in | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.in b/requirements.in index 953689f..8e8f046 100644 --- a/requirements.in +++ b/requirements.in @@ -1,4 +1,4 @@ django>=3.1.13, <4.0 environs>=9.0, <10.0 numpy>=1.0, <2.0 -scos_actions @ git+https://github.com/NTIA/scos-actions@calibration +scos_actions @ git+https://github.com/NTIA/scos-actions@y_factor_cal_complete From ece7c97d1c82a4ac661b3f484a66706e6818e882 Mon Sep 17 00:00:00 2001 From: dboulware Date: Wed, 22 Jun 2022 10:18:58 -0600 Subject: [PATCH 07/13] requirements --- requirements-dev.txt | 4 ++-- requirements.txt | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/requirements-dev.txt b/requirements-dev.txt index 5a95ce3..400b209 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -49,7 +49,7 @@ importlib-metadata==4.11.3 # virtualenv iniconfig==1.1.1 # via pytest -its-preselector @ git+https://github.com/NTIA/Preselector@0.0.1 +its-preselector @ git+https://github.com/NTIA/Preselector@1.0.0 # via # -r requirements.txt # scos-actions @@ -117,7 +117,7 @@ scipy==1.7.3 # via # -r requirements.txt # scos-actions -scos_actions @ git+https://github.com/NTIA/scos-actions@calibration +scos_actions @ git+https://github.com/NTIA/scos-actions@y_factor_cal_complete # via -r requirements.txt sigmf @ git+https://github.com/NTIA/SigMF.git@multi-recording-archive # via diff --git a/requirements.txt b/requirements.txt index 4dd9288..b0f904b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -18,7 +18,7 @@ environs==9.5.0 # via -r requirements.in idna==3.3 # via requests -its-preselector @ git+https://github.com/NTIA/Preselector@0.0.1 +its-preselector @ git+https://github.com/NTIA/Preselector@1.0.0 # via scos-actions marshmallow==3.15.0 # via environs @@ -46,7 +46,7 @@ ruamel-yaml-clib==0.2.6 # via ruamel-yaml scipy==1.7.3 # via scos-actions -scos_actions @ git+https://github.com/NTIA/scos-actions@calibration +scos_actions @ git+https://github.com/NTIA/scos-actions@y_factor_cal_complete # via -r requirements.in sigmf @ git+https://github.com/NTIA/SigMF.git@multi-recording-archive # via scos-actions From 54007e1cd0204a5c5ee5e9b2af45860aab2d1ac3 Mon Sep 17 00:00:00 2001 From: Doug Boulware Date: Fri, 1 Jul 2022 12:23:19 -0600 Subject: [PATCH 08/13] use requested sample_rate for calibration data. --- scos_usrp/hardware/usrp_sigan.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/scos_usrp/hardware/usrp_sigan.py b/scos_usrp/hardware/usrp_sigan.py index 53ae1d3..98fc5ab 100644 --- a/scos_usrp/hardware/usrp_sigan.py +++ b/scos_usrp/hardware/usrp_sigan.py @@ -63,6 +63,7 @@ def __init__(self): self._sigan_overload = False self._sensor_overload = False self._capture_time = None + self.requested_sample_rate = 0 self.connect() @@ -123,6 +124,7 @@ def sample_rate(self, rate): :type sample_rate: float :param sample_rate: Sample rate in samples per second """ + self.requested_sample_rate = rate self.usrp.set_rx_rate(rate) fs_MSps = self.sample_rate / 1e6 logger.debug("set USRP sample rate: {:.2f} MSps".format(fs_MSps)) @@ -250,7 +252,7 @@ def acquire_time_domain_samples(self, num_samples, num_samples_skip=0, retries=5 self._sigan_overload = False self._capture_time = None # Get the calibration data for the acquisition - calibration_args = [self.sample_rate, self.frequency, self.gain] + calibration_args = [self.requested_sample_rate, self.frequency, self.gain] self.recompute_calibration_data(calibration_args) nsamps = int(num_samples) nskip = int(num_samples_skip) From 4881a0937600c94c7574c6b7e366941b6c868b93 Mon Sep 17 00:00:00 2001 From: Doug Boulware Date: Fri, 1 Jul 2022 12:39:11 -0600 Subject: [PATCH 09/13] debugging --- scos_usrp/hardware/usrp_sigan.py | 1 + 1 file changed, 1 insertion(+) diff --git a/scos_usrp/hardware/usrp_sigan.py b/scos_usrp/hardware/usrp_sigan.py index 98fc5ab..83c3efa 100644 --- a/scos_usrp/hardware/usrp_sigan.py +++ b/scos_usrp/hardware/usrp_sigan.py @@ -252,6 +252,7 @@ def acquire_time_domain_samples(self, num_samples, num_samples_skip=0, retries=5 self._sigan_overload = False self._capture_time = None # Get the calibration data for the acquisition + logger.debug('Using requested sample rate of ' + self.requested_sample_rate) calibration_args = [self.requested_sample_rate, self.frequency, self.gain] self.recompute_calibration_data(calibration_args) nsamps = int(num_samples) From de5e4ffdaa43238761488cf5de1957821c8aaa93 Mon Sep 17 00:00:00 2001 From: Doug Boulware Date: Fri, 1 Jul 2022 13:05:35 -0600 Subject: [PATCH 10/13] debugging --- scos_usrp/hardware/usrp_sigan.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scos_usrp/hardware/usrp_sigan.py b/scos_usrp/hardware/usrp_sigan.py index 83c3efa..287985b 100644 --- a/scos_usrp/hardware/usrp_sigan.py +++ b/scos_usrp/hardware/usrp_sigan.py @@ -252,7 +252,7 @@ def acquire_time_domain_samples(self, num_samples, num_samples_skip=0, retries=5 self._sigan_overload = False self._capture_time = None # Get the calibration data for the acquisition - logger.debug('Using requested sample rate of ' + self.requested_sample_rate) + logger.debug('Using requested sample rate of ' + str(self.requested_sample_rate)) calibration_args = [self.requested_sample_rate, self.frequency, self.gain] self.recompute_calibration_data(calibration_args) nsamps = int(num_samples) From ddd8a6e3e32b60a4ab1c0a65ad3444e3034e296e Mon Sep 17 00:00:00 2001 From: Doug Boulware Date: Thu, 21 Jul 2022 09:44:54 -0600 Subject: [PATCH 11/13] scos-actions 2.0.0 --- requirements-dev.txt | 2 +- requirements.in | 2 +- requirements.txt | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/requirements-dev.txt b/requirements-dev.txt index 400b209..71e3718 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -117,7 +117,7 @@ scipy==1.7.3 # via # -r requirements.txt # scos-actions -scos_actions @ git+https://github.com/NTIA/scos-actions@y_factor_cal_complete +scos_actions @ git+https://github.com/NTIA/scos-actions@2.0.0 # via -r requirements.txt sigmf @ git+https://github.com/NTIA/SigMF.git@multi-recording-archive # via diff --git a/requirements.in b/requirements.in index 8e8f046..5d73826 100644 --- a/requirements.in +++ b/requirements.in @@ -1,4 +1,4 @@ django>=3.1.13, <4.0 environs>=9.0, <10.0 numpy>=1.0, <2.0 -scos_actions @ git+https://github.com/NTIA/scos-actions@y_factor_cal_complete +scos_actions @ git+https://github.com/NTIA/scos-actions@2.0.0 diff --git a/requirements.txt b/requirements.txt index b0f904b..4b5803c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -46,7 +46,7 @@ ruamel-yaml-clib==0.2.6 # via ruamel-yaml scipy==1.7.3 # via scos-actions -scos_actions @ git+https://github.com/NTIA/scos-actions@y_factor_cal_complete +scos_actions @ git+https://github.com/NTIA/scos-actions@2.0.0 # via -r requirements.in sigmf @ git+https://github.com/NTIA/SigMF.git@multi-recording-archive # via scos-actions From 2d11025b96021bd0a979c96cb1c3e8352a7c82a9 Mon Sep 17 00:00:00 2001 From: dboulware Date: Thu, 21 Jul 2022 11:49:20 -0600 Subject: [PATCH 12/13] Updated tests and removed tests that are no longer applicable --- scos_usrp/hardware/tests/test_usrp.py | 163 +------------------------- 1 file changed, 6 insertions(+), 157 deletions(-) diff --git a/scos_usrp/hardware/tests/test_usrp.py b/scos_usrp/hardware/tests/test_usrp.py index 8bbd632..c105ede 100644 --- a/scos_usrp/hardware/tests/test_usrp.py +++ b/scos_usrp/hardware/tests/test_usrp.py @@ -3,11 +3,6 @@ import pytest from scos_usrp.hardware import sigan -from scos_usrp.hardware.tests.resources.utils import ( - create_dummy_calibration, - easy_gain, - is_close, -) class TestUSRP: @@ -40,6 +35,9 @@ def test_acquire_samples_with_retries(self): max_retries = 5 times_to_fail = 3 + self.rx.sample_rate = 10000000.0 + self.rx.frequency = 650000000.0 + self.rx.gain = 40.0 self.rx.usrp.set_times_to_fail_recv(times_to_fail) try: @@ -61,7 +59,9 @@ def test_acquire_samples_fails_when_over_max_retries(self): max_retries = 5 times_to_fail = 7 self.rx.usrp.set_times_to_fail_recv(times_to_fail) - + self.rx.sample_rate = 10000000.0 + self.rx.frequency = 650000000.0 + self.rx.gain = 40.0 msg = "Acquisition failing {} times sequentially with {}\n" msg += "retries requested SHOULD have raised an error." msg = msg.format(times_to_fail, max_retries) @@ -94,32 +94,6 @@ def test_tune_result(self): self.rx.tune_frequency(f_lo, f_dsp) assert f_lo == self.rx.lo_freq and f_dsp == self.rx.dsp_freq - def test_scaled_data_acquisition(self): - """Check that the samples are properly scaled""" - # Check that the setup was completed - assert self.setup_complete, "Setup was not completed" - - # Do an arbitrary data collection - self.rx.sample_rate = int(10e6) - self.rx.frequency = 1e9 - self.rx.gain = 20 - measurement_result = self.rx.acquire_time_domain_samples(1000) - data = measurement_result["data"] - - # The true value should be the 1 / linear gain - true_val = easy_gain(int(10e6), 1e9, 20) - 10 - true_val = 10 ** (-1 * float(true_val) / 20) - - # Get the observed value - observed_val = data[0] - - # Assert the value - tolerance = 1e-5 - msg = "Acquisition was not properly scaled.\n" - msg += " Algorithm: {}\n".format(observed_val) - msg += " Expected: {}\n".format(true_val) - msg += " Tolerance: {}\r\n".format(tolerance) - assert is_close(true_val, observed_val, tolerance), msg def test_set_sample_rate_also_sets_clock_rate(self): """Setting sample_rate should adjust clock_rate""" @@ -135,131 +109,6 @@ def test_set_sample_rate_also_sets_clock_rate(self): assert expected_clock_rate == observed_clock_rate - def check_defaulted_calibration_parameter(self, param, expected, observed): - msg = "Default calibration parameters were not properly set.\n" - msg += " Parameter: {}\n".format(param) - msg += " Expected: {}\n".format(expected) - msg += " Observed: {}\r\n".format(observed) - assert expected == observed, msg - - def test_defaulted_calibration_values(self): - """Ensure that default calibration values are loaded""" - - # Save and clear the calibrations - sigan_calibration = self.rx.sigan_calibration - sensor_calibration = self.rx.sensor_calibration - self.rx.sigan_calibration = None - self.rx.sensor_calibration = None - - # Create some dummy setups to ensure calibration updates - sample_rates = [10e6, 40e6, 1e6, 56e6] - gain_settings = [40, 60, 0, 60] - frequencies = [1000e6, 2000e6, 10e6, 1500e6] - - # Run each set - for i in range(len(sample_rates)): - # Get the parameters for this run - sample_rate = sample_rates[i] - gain_setting = gain_settings[i] - frequency = frequencies[i] - - # Setup the rx - self.rx.sample_rate = sample_rate - self.rx.gain = gain_setting - self.rx.frequency = frequency - - # Recompute the calibration parameters - self.rx.recompute_calibration_data() - - # Check the defaulted calibration parameters - self.check_defaulted_calibration_parameter( - "gain_sigan", gain_setting, self.rx.sigan_calibration_data["gain_sigan"] - ) - self.check_defaulted_calibration_parameter( - "enbw_sigan", sample_rate, self.rx.sigan_calibration_data["enbw_sigan"] - ) - self.check_defaulted_calibration_parameter( - "noise_figure_sigan", - 0, - self.rx.sigan_calibration_data["noise_figure_sigan"], - ) - self.check_defaulted_calibration_parameter( - "1db_compression_sigan", - 100, - self.rx.sigan_calibration_data["1db_compression_sigan"], - ) - self.check_defaulted_calibration_parameter( - "gain_sensor", - gain_setting, - self.rx.sensor_calibration_data["gain_sensor"], - ) - self.check_defaulted_calibration_parameter( - "enbw_sensor", - sample_rate, - self.rx.sensor_calibration_data["enbw_sensor"], - ) - self.check_defaulted_calibration_parameter( - "noise_figure_sensor", - 0, - self.rx.sensor_calibration_data["noise_figure_sensor"], - ) - self.check_defaulted_calibration_parameter( - "1db_compression_sensor", - 100, - self.rx.sensor_calibration_data["1db_compression_sensor"], - ) - self.check_defaulted_calibration_parameter( - "gain_preselector", - 0, - self.rx.sensor_calibration_data["gain_preselector"], - ) - self.check_defaulted_calibration_parameter( - "noise_figure_preselector", - 0, - self.rx.sensor_calibration_data["noise_figure_preselector"], - ) - self.check_defaulted_calibration_parameter( - "1db_compression_preselector", - 100, - self.rx.sensor_calibration_data["1db_compression_preselector"], - ) - - # Reload the calibrations in case they're used elsewhere - self.rx.sigan_calibration = sigan_calibration - self.rx.sensor_calibration = sensor_calibration - - def test_sigan_only_defaulting(self): - """Ensure that sensor calibration values default to sigan""" - - # Load an empty sensor calibration - self.rx.sensor_calibration = create_dummy_calibration(empty_cal=True) - - # Create some dummy setups to ensure calibration updates - sample_rates = [10e6, 40e6, 1e6, 56e6] - gain_settings = [40, 60, 0, 60] - frequencies = [1000e6, 2000e6, 10e6, 1500e6] - - # Run each set - for i in range(len(sample_rates)): - # Get the parameters for this run - sample_rate = sample_rates[i] - gain_setting = gain_settings[i] - frequency = frequencies[i] - - # Setup the rx - self.rx.sample_rate = sample_rate - self.rx.gain = gain_setting - self.rx.frequency = frequency - # Recompute the calibration parameters - self.rx.recompute_calibration_data() - # Check the defaulted calibration parameters - self.check_defaulted_calibration_parameter( - "gain_sensor", - self.rx.sigan_calibration_data["gain_sigan"], - self.rx.sensor_calibration_data["gain_sensor"], - ) - # Reload the dummy sensor calibration in case they're used elsewhere - self.rx.sensor_calibration = create_dummy_calibration() From 304a27ebffdc41207c2e77580f1eec9aa0e974a4 Mon Sep 17 00:00:00 2001 From: dboulware Date: Thu, 21 Jul 2022 12:12:16 -0600 Subject: [PATCH 13/13] Updated version. --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 6c79bd5..998236c 100644 --- a/setup.py +++ b/setup.py @@ -16,7 +16,7 @@ setuptools.setup( name="scos_usrp", - version="0.1.0", + version="1.0.0", author="The Institute for Telecommunication Sciences", # author_email="author@example.com", description="USRP support for scos-sensor",