In this illustration, we implement a TDMA-MIMO-based millimeter-wave radar raw data generation and signal processing stack that can support millimeter-wave radar platforms with different physical array element configurations and antenna emission sequences, as well as information estimation of moving targets, etc.
In addition, we have interpreted this tutorial in Chinese, details of which can be found in the blog link: https://www.cnblogs.com/XL2COWARD/p/MyRadar_7.html
Readers are welcome to use this sample code and to communicate with us. We also hope that readers will cite our work when using our code, and we will improve it as we go along.
Here are the results of our work so far:
[1] X. Yu, Z. Cao, Z. Wu, C. Song, J. Zhu and Z. Xu, "A Novel Potential Drowning Detection System Based on Millimeter-Wave Radar," 2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore, Singapore, 2022, pp. 659-664, doi: 10.1109/ICARCV57592.2022.10004245.
[2] X. Yu, Z. Cao, Z. Wu, C. Song and Z. Xu, "Sample Intercorrelation-Based Multidomain Fusion Network for Aquatic Human Activity Recognition Using Millimeter-Wave Radar," in IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 3505205, doi: 10.1109/LGRS.2023.3284395.
[3] Z. Wu, Z. Cao, X. Yu, C. Song, J. Zhu and Z. Xu, "A Novel Multi-Person Activity Recognition Algorithm Based on Point Clouds Measured by Millimeter-Wave MIMO Radar", in IEEE Sensor Journal.