mmWrt 0.0.4

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

v0.1:

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

NEXT

v0.2:

* point targets only with RCS
* 2D (AoA)
* velocity
* 2D FFT: range+velocity, range+AoA
* 2D peak grouping (by velocity sign)
* 3D position error compute

v0.3:

* 3D targets (at least spheres)
* medium attenuation
* 3D point clouds (i.e. over multiple CTI)
* multiple single reflections

Not planned yet bu considered:

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

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)

12. release on pypi

twine upload -r pypi dist*