目标威胁度与跟踪精度联合优化的多雷达资源分配算法OA

Aiming at the resource allocation problem of multi-target tracking in multi-radar system,a cost function that comprehensively considers target threat degree and tracking accuracy is established.Taking radar dwell time as the control variable,a constrained resource allocation model based on the partially observable Markov decision process(POMDP)is constructed.The Lagrangian relaxation method is adopted to decompose the optimization problem into mul-tiple unconstrained sub-problems,and the rollout algorithm is used to achieve a non-myopic approximate optimal solu-tion.According to the difference of multi-radar information fusion architecture,two implementation schemes,named cen-tralized and distributed,are proposed respectively,and the algorithm is verified through static and dynamic scenarios.Simulation results demonstrate that the proposed algorithm can realize the integrated non-myopic rapid scheduling of multi-radar resources,and allocate tracking resources differently according to threat levels.