Test that, based on the test file of the dataset https://github.com/moodoki/radical_sdk?tab=readme-ov-file, attempts to detect targets with an indication of their distance.
Download the project to disk:
Download the file with 50 tests from https://fireball.teckyianlim.me/file/flaming-cake/indoor_sample_50.h5
Run the test program:
python Test_Radar_RaDICal_Simplfied.py
As this is a room, to avoid waves reflected by walls and others:
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Distances are limited by limiting intermediate frecuency
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Only moving targets are considered. Moving targets are detected by the phase shift between one chirp component and the same component in the previous chirp detected by the same antenna.
The Texas manual, mmwaveSensing-FMCW-offlineviewing_0 .pdf, is attached. that has been followed in this test, specifically the explanations on page 4 and page 28
References:
https://github.com/itberrios/radical/blob/main/notebooks/range_doppler.ipynb
https://medium.com/@itberrios6/introduction-to-radar-part-2-8a332066917e
Dataset from https://publish.illinois.edu/radicaldata/
https://github.com/moodoki/radical_sdk
https://fireball.teckyianlim.me/file/flaming-cake/indoor_sample_50.h5 Is one small sample (50 frames) to try.
https://www.ti.com/lit/an/swra553a/swra553a.pdf?ts=1714172430750
https://www.plextek.com/articles/a-programmers-introduction-to-processing-imaging-radar-data/ But does not provide dataset for try:
https://www.radartutorial.eu/10.processing/sp04.en.html
https://moodoki.github.io/radical_sdk/ProjectBBoxExample.html It seems to be limited to detecting objects in photos and does not use radar signals. In a similar way to that used in https://github.com/ablanco1950/Radar_Marine-Yolov11 wich uses photos of screen radar. Would be computer vision projects rather than signal processing