Radar Multi-Target Detection and Tracking Based on LMB Filter
Wenhao Dong, Jingyi Wang, Ji Chen, Yongqiang Zhang, Zhiyong Song, Qiang Fu · 2021 International Conference on Control, Automation and Information Sciences (ICCAIS) · 2021
Multi-target detection and tracking in complex environment is a hot difficulty topic in radar field. Aiming at the problem of radar detection and tracking of static multitarget, this paper aims to provide a complete multi-target detection and tracking scheme based on high-resolution range profile (HRRP). In the stage of target detection, the HRRP matching template is established by using priori database, the HRRP matching filter is constructed, and the constant false-alarm rate (CFAR) algorithm is fused to realize target detection; In the multi-target tracking stage, the multi-target tracking technology based on the labeled multi-Bernoulli (LMB) is used to filter the detection set, and the sequential Monte Carlo (SMC) based on adaptive newborn density is used to obtain multiple target tracks to realize multi-target tracking. The test results show that the fusion detection method of HRRP template and CFAR realizes the detection of complex weak target, and keeps low false alarm rate. LMB filter can effectively filter out false alarm and extract effective target tracks.