A NLOS Target Detection Method with MMW Radar under Low SNR

Due to the complexity of urban building environments and the reduced signal-to-noise ratio (SNR) of electromagnetic (EM) waves after multiple reflections, it is difficult to detect targets in urban environments using the reflection of EM waves. At this time, if the target is detected based on detection before tracking (DBT), it is more likely to cause a false alarm or missed detection. Inspired by the idea of joint multi-frame accumulation detection targets in tracking before detection (TBD), we propose a new detection method for the NLOS target. Compared to DBT, this method ensures the detection probability of the target at low SNR while reducing the false alarm probability by judging the accumulated results of multiple frames. Furthermore, several experimental results show that when the target is behind a building corner, the algorithm can effectively reduce the generation of false targets while ensuring the probability of target detection.