Micro-Doppler Spectrogram Computation of PulsON P410 Radar from TimeDomain (Humatics)

BibTeX of this project:

bib @software{Guendel_micro-Doppler-STFT-PulsON-Radar_2023, author = {Guendel, Ronny Gerhard}, doi = {10.5281/zenodo.10402956}, month = dec, title = {{micro-Doppler-STFT-PulsON-Radar}}, url = {https://github.com/rgundel/micro-Doppler-STFT-PulsON-Radar}, version = {0.1.0}, year = {2023} }

or

bib @misc{Guendel_micro-Doppler-STFT-PulsON-Radar_2023, author = {Guendel, Ronny Gerhard}, doi = {10.5281/zenodo.10402956}, month = dec, title = {{micro-Doppler-STFT-PulsON-Radar}}, url = {https://doi.org/10.5281/zenodo.10402956}, version = {0.1.0}, year = {2023} }

This project demonstrates the computation of micro-Doppler spectrograms using the PulsON P410 radar data from TimeDomain (Humatics). It includes two main MATLAB files: `mainstftp410networkpublic.mfor processing data from a distributed radar network dataset, available at [this dataset](https://doi.org/10.4121/16691500), andmainstftp410public.m`, which serves as an illustrative example showing how to transform range-time data into micro-Doppler spectrograms._

Process Flow Illustration

Files and Functions in the Project

Main Files

• main_stft_p410_public.m
• main_stft_p410_network_public.m

Functions

• fct_rt_matrix_real_to_complex.p
• fct_stft_pulson_radar.p

Example Data

• ex_rangeTimeMap.mat

To main_stft_p410_public.m

This function main_stft_p410_public.m computes the micro-Doppler spectrogram from the example data ex_rangeTimeMap.mat using the two functions (fct_rt_matrix_real_to_complex.p, fct_stft_pulson_radar.p) for computing the complex range-time matrix and generating the micro-Doppler spectrogram.

To main_stft_p410_network_public.m

This function main_stft_p410_network_public.m computes the micro-Doppler spectrograms from all radars in the network when using the public data: https://doi.org/10.4121/16691500. It utilizes the two functions (fct_rt_matrix_real_to_complex.p, fct_stft_pulson_radar.p) for computing the complex range-time matrices and generating the micro-Doppler spectrograms, including the provided label vector.

Note: When using this code or the data, we would appreciate properly citing our work using the references provided below.

References

1. R. G. Guendel, M. Unterhorst, E. Gambi, F. Fioranelli and A. Yarovoy, "Continuous human activity recognition for arbitrary directions with distributed radars," in 2021 IEEE Radar Conference (RadarConf21), Atlanta, GA, USA, 2021, pp. 1-6, doi: 10.1109/RadarConf2147009.2021.9454972.

2. Guendel, R.G., Fioranelli, F., Yarovoy, A.: Distributed radar fusion and recurrent networks for classification of continuous human activities. IET Radar Sonar Navig. 16(7), 1144–1161 (2022). https://doi.org/10.1049/rsn2.12249

3. Guendel, Ronny Gerhard; Unterhorst, Matteo; Fioranelli, Francesco; Yarovoy, Alexander (2021): Dataset of continuous human activities performed in arbitrary directions collected with a distributed radar network of five nodes. 4TU.ResearchData. Dataset. https://doi.org/10.4121/16691500

BibTeX: bib @INPROCEEDINGS{9454972, author ={Guendel, Ronny Gerhard and Unterhorst, Matteo and Gambi, Ennio and Fioranelli, Francesco and Yarovoy, Alexander}, booktitle ={2021 IEEE Radar Conference (RadarConf21)}, title ={Continuous human activity recognition for arbitrary directions with distributed radars}, year ={2021}, pages ={1-6}, doi ={10.1109/RadarConf2147009.2021.9454972}}

bib @article{https://doi.org/10.1049/rsn2.12249, author = {Guendel, Ronny G. and Fioranelli, Francesco and Yarovoy, Alexander}, title = {Distributed radar fusion and recurrent networks for classification of continuous human activities}, journal = {IET Radar, Sonar and Navigation}, volume = {16}, number = {7}, pages = {1144-1161}, year = {2022}, doi = {10.1049/rsn2.12249}}

bib @misc{Guendel2022, author = {Guendel, Ronny and Unterhorst, Matteo and Fioranelli, Francesco and Yarovoy, Alexander}, title = {Dataset of continuous human activities performed in arbitrary directions collected with a distributed radar network of five nodes}, year = {2021}, month = {Nov}, url = {https://doi.org/10.4121/16691500}, doi = {10.4121/16691500}}