-种某于幅度柑位信总辅助的多假设跟踪算法

In range gate pull off ( RGPO) jamming scenarios, conventional multiple target tracking algorithm can not effectively distinguish the RGPO deception from real target measurements, resulting in track mis-initialization, increased tracking error, and tracking discontinuity. This paper proposes an information-assisted multiple hypothesis tracking (IA-MHT) algorithm to solve the above problems. The IA-MHT algorithm utilizes amplitude and phase information of radar measurements to distinguish between true and false measurements of targets. Furthermore, the algorithm adjusts the calculation method of global association hypothesis probabilities and track scores, which improves the tracking performance under clutter and RGPO interferences. Simulation results show that the IA-MHT algorithm can effectively distinguish the RGPO deception measurements and obtain superior data association performance compared to the conventional MHT algorithm.