Indoor Stationary Human Detection and Localization Based on FMCW Radar

This paper utilizes millimeter-wave radar as a non-contact sensing device for detecting and positioning stationary living bodies. The choice of radar is motivated by good privacy, and the system components required to process millimeter-wave signals are small in size and easy to integrate. Specifically, a 60GHz frequency modulated continuous wave (FMCW) radar is employed, leveraging its multiple-input multiple-output (MIMO) modes for accurate target localization. The proposed method determines the presence of living things based on dispersion entropy (DE) and energy ratio values, using density-based spatial clustering of applications with noise (DBSCAN) for target counting. The approach involves preprocessing the echo signal, calculating DE and energy ratio, and utilizing these indicators for human detection. The Range-Azimuth (RA) map is then derived, and cluster analysis is performed on high-energy areas to identify the number and location of targets. After sliding window analysis of each set of data, the detection accuracy exceeds 97%.