mmWrt 0.0.5

minimal raytracing code example for MIMO FMCW radar

mmWrt

minimal raytracing for MIMO FMCW radar systems.

Intended usage:

1. educational

Release Notes and Roadmap

Released

v0.0.3: first release

* point targets only
* 1D compute of baseband if signal for scene
* 1D FFT, CFAR, peak grouping and target position error compute
* single reflections

v0.0.4:

* adding frequency estimator
* added speed processing
* added support for radar equation (RCS, distance, ...)
* antenna gains in azimumth, elevation and freq

NEXT ()

* 2D (AoA)
* 2D FFT: range+velocity, range+AoA
* 2D peak grouping (by velocity sign)
* 3D position error compute
* 3D targets (at least spheres)
* medium attenuation
* 3D point clouds (i.e. over multiple CTI)
* multiple single reflections

Not planned yet but considered:

• reads and loads .bin
  • record BB signals in .bin
  • 3D targets and scene rendering with imaging side by side radar
  • Swerling's scattering

Example Code

Check on Google Colab the code:

Or Read the Docs on

Release process

1. run pyroma (should be 10/10)

pyroma .

2. run flake8 runs with darglint settings for docstrings to numpy standard set in the .flake8 file should yield 0 warnings or errors

flake8

3. run pytest should yield 100% pass

pytest

4. run coverage

coverage run -m pytest

5. run coverage report (should be 100%)

coverage report

6. run tox

7.run sphinx-api updates the *.rst in docs/ folder

sphinx-apidoc -f -o docs mmWrt

8. run sphinx-build (updates the read_the_docs folder)

sphinx-build -b html docs build/html

9. release to pypi-test

python setup.py bdist_wheel

twine upload -r testpypi dist*

10. update on read_the_docs

11. check on Google Colab (Google Colab requires py3.8 as off 2023-Jan-15)

11.a. if testing release-candidate need to spell out or will install latest stable version

!pip install -i https://test.pypi.org/simple/ mmWrt==0.0.5rc3
from mmWrt import __version__
print(__version__)

12. release on pypi

twine upload -r pypi dist*