Research on Life Detection Algorithm Based on UWB

In order to address the issue of inaccurate identification and localization of the instrument when employing ultra-wideband radar (UWB) for indirect detection of human signals, this paper investigates a preprocessing algorithm based on the combination of pulse-to-canceling method (PTC) and background phase elimination (BPE). A localization algorithm based on the combination of auto-correlation (AC) and continuous wavelet transform (CWT), and an improved empirical mode decomposition (Soft Sifting Stopping Criterion Based on Empirical Mode Decomposition, SSSC-EMD) are presented life-signal decomposition algorithm to determine human target location information using radar frequency values. Empirical Modal Decomposition based Stopping Criterion (SSSC-EMD) vital signal decomposition algorithm. After verification, the algorithm proposed in this article can accurately and effectively extract the distance of human targets, improving the accuracy and real-time performance of vital sign signal separation.