QAMPy is a dsp chain for simulation and equalisation of signals from optical communication transmissions. It is written in Python, but has been designed for high performance and most performance critical functions are written with pythran to run at speed of compiled c or c++ code.
QAMPy can equalise BPSK, QPSK and higher-order QAM signals as well as simulate signal impairments.
For signal equalisation it contains:
- CMA and modified CMA equalisation algorithms
- Radius directed equalisers
- several decision directed equaliser implementations
- phase recovery using blind phase search (BPS) and ViterbiViterbi algorithms
- frequency offset compensation
- a complete set of pilot-based equalisation routines, including frame synchronization, frequency offset estimation, adaptive equalisation and phase recovery
- additional data-aided and real-valued adaptive equaliser routines
It can simulate the following impairments:
- frequency offset
- SNR
- PMD
- phase noise
- transceiver impairments such as modulator nonlinearity, DAC frequency response and limited ENOB
QAMpy is designed to make working with QAM signals easy and includes calculations for several performance metrics:
- Symbol Error Rate (SER)
- Bit Error Rate (BER)
- Error Vector Magnitude (EVM)
- Generalized Mututal Information (GMI)
We put a strong focus on documenting our functions and most public functions should be well documented. Use help in jupyter notebook to excess the documenation.
You can access documentation with an extensive API at our website.
For examples of how to use QAMpy see the Scripts and the Notebooks subdirectory, note that not all files are up-to-date You should in particular look at the cma_equaliser.py and 64_qam_equalisation.py files.
Installation instructions can be found here here.
QAMpy is still in alpha status, however we daily in our work. We will try to keep the basic API stable across releases, but implementation details under core might change without notice.
QAMpy was written by Mikael Mazur and Jochen Schröder from the Photonics Laboratory at Chalmers University of Technology and is licenced under GPLv3 or later.
If you use QAMpy in your work please cite us as Jochen Schröder and Mikael Mazur, "QAMPy a DSP chain for optical communications, DOI: 10.5281/zenodo.1195720".
The GPU graphics card used for part of this work was donated by NVIDIA Corporation