rad-lab 0.0.3

A module for general radar signal processing library

rad-lab

A Python radar module for simulating pulse-Doppler returns, generating range-Doppler maps (RDMs), and forming synthetic aperture radar (SAR) images. Designed for radar engineers and students who want to build intuition for how RDMs and SAR images are formed, how waveforms affect resolution, and how DRFM electronic attack techniques appear in the RDM.

Installation

Install from PyPI (library only)

pip install rad-lab

Clone for the full example apps

git clone https://github.com/JohnNehls/rad-lab
pip install -e ./rad-lab

A few exercises use LaTeX for plot labels — LaTeX must be installed for those to run.

Usage

from rad_lab import rdm, Radar, Target, Return, barker_coded_waveform

radar = Radar(
    fcar=10e9,
    tx_power=1e3,
    tx_gain=10 ** (30 / 10),
    rx_gain=10 ** (30 / 10),
    op_temp=290,
    sample_rate=20e6,
    noise_factor=10 ** (8 / 10),
    total_losses=10 ** (8 / 10),
    prf=200e3,
    dwell_time=2e-3,
)

waveform = barker_coded_waveform(10e6, nchips=13)

return_list = [Return(target=Target(range=0.5e3, range_rate=1.0e3, rcs=1))]

rdm.gen(radar, waveform, return_list)

Other available waveforms: uncoded_waveform, random_coded_waveform, lfm_waveform. For additional RDM examples see apps/rdms and apps/exercises, or the API docs.

SAR Image Generation

rad-lab also supports stripmap and spotlight SAR image formation from point-target scenes:

For SAR examples see apps/sar.

Contributing

Contributions are welcome. Please fork the repository and submit a pull request.

To run the test suite:

python -m pytest tests/ -v
./apps/run_apps.sh   # runs all apps with a headless backend

License

This project is licensed under the GPL-3.0 License - see LICENSE for details.