mmWrt


NamemmWrt JSON
Version 0.0.5 PyPI version JSON
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home_pagehttps://github.com/matt-chv/mmWrt
Summaryminimal raytracing code example for MIMO FMCW radar
upload_time2023-12-28 13:17:07
maintainer
docs_urlNone
authormatt-chv
requires_python>=3.8
licenseLICENSE
keywords radar mimo fmcw raytracing
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage
            # 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:

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/gist/matt-chv/bdd8b835c5cb7e739bb8b68d00257690/fmcw-radar-101.ipynb)

Or Read the Docs on [![Read the docs](https://read-the-docs-guidelines.readthedocs-hosted.com/_images/logo-wordmark-light.png)](https://mmwrt.readthedocs.io/en/latest/Intro.html)

## 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\*



            

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