OptiCommPy 0.3.0

Optical Communications Algorithms with Python

OptiCommPy: Fiber Optic Communications with Python

Simulate optical communications systems with Python. This repository is a Python-based framework to simulate systems, subsystems and components of fiber optic communication systems, for educational and research purposes.

Available features

• Several digital modulations available (M-PAM, square M-QAM, M-PSK, OOK) to simulate IM-DD and coherent optical systems.
• Numerical models to simulate optical transmitters, optical amplification, nonlinear propagation over optical fibers, and optical receivers.
• CPU and GPU-based implementations of the split-step Fourier Method to simulate polarization multiplexed WDM transmission.
• Standard digital signal processing (DSP) blocks employed in coherent optical receivers, such as:
  • Signal resampling.
  • Matched filtering.
  • Electronic chromatic dispersion compensation (EDC).
  • Several NxN MIMO adaptive equalization algorithms.
  • Carrier phase recovery algorithms.
• For most of the cases, Numba is used to speed up the core DSP functions.
• Evaluate transmission performance with metrics such as:
  • Bit-error-rate (BER).
  • Symbol-error-rate (SER).
  • Error vector magnitude (EVM).
  • Mutual information (MI).
  • Generalized mutual information (GMI).
  • Normalized generalized mutual information (NGMI).
• Vizualization of the spectrum of electrical/optical signals, signal constellations and eyediagrams.

How can I contribute?

If you want to contribute to this project, just implement the feature you want and send me a pull request. If you want to suggest new features or discuss anything related to OptiCommPy, please get in touch with me ([e-mail]).

Requirements/Dependencies

• python>=3.2
• numpy>=1.9.2
• scipy>=0.15.0
• matplotlib>=1.4.3
• scikit-commpy>=0.7.0
• numba>=0.54.1
• tqdm>=4.64.1
• simple-pid>=1.0.1
• mpl-scatter-density>=0.7.0

Installation

Using pip:

pip install OptiCommPy

Cloning the repository from github:

$ git clone https://github.com/edsonportosilva/OptiCommPy.git
$ cd OptiCommPy
$ python setup.py install

or

$ git clone https://github.com/edsonportosilva/OptiCommPy.git
$ cd OptiCommPy
$ pip install .

Citing this repository

Edson Porto da Silva, Adolfo Herbster, & Joaquin Matres. (2022). edsonportosilva/OptiCommPy: v0.2.0-alpha (v0.2.0-alpha). https://doi.org/10.5281/zenodo.7425071