Research on moving target tracking and imaging algorithm for ultra wideband through-wall radar

Detection and tracking of human targets behind walls with Ultra Wideband Through-Wall Radar (UWB TWR) have important application value in urban area operations, counter-terrorism and search-and-rescue missions. TWR signal processing consists of two key parts-moving target detection (MTD) and imaging algorithm. An adaptive background subtraction method for extracting the information of moving targets is presented in this paper, which outperforms conventional MTD techniques. Then an improved BP algorithm is also introduced, which considers the presence of walls. FDTD numerical simulations and experimental results validate that the proposed algorithm can be used to track and image moving targets behind walls. The results also show that the proposed algorithm has the characteristics of simple antenna array requirement, high position accuracy and real time imaging.