Finite sensor selection algorithm in distributed MIMO radar for joint target tracking and detection  

作　　者：ZHANG Haowei XIE Junwei GE Jiaang ZHANG Zhaojian LU Wenlong 

机构地区：[1]Air and Missile Defense College,Air Force Engineering University,Xi’an 710051,China [2]Air Force Early Warning Academy of the PLA,Wuhan 410039,China [3]Unit 95899 of the PLA,Beijing 100085,China

出　　处：《Journal of Systems Engineering and Electronics》2020年第2期290-302,共13页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61601504)。

摘　　要：Due to the requirement of anti-interception and the limitation of processing capability of the fusion center, the subarray selection is very important for the distributed multiple-input multiple-output(MIMO) radar system, especially in the hostile environment. In such conditions, an efficient subarray selection strategy is proposed for MIMO radar performing tasks of target tracking and detection. The goal of the proposed strategy is to minimize the worst-case predicted posterior Cramer-Rao lower bound(PCRLB) while maximizing the detection probability for a certain region. It is shown that the subarray selection problem is NP-hard, and a modified particle swarm optimization(MPSO) algorithm is developed as the solution strategy. A large number of simulations verify that the MPSO can provide close performance to the exhaustive search(ES) algorithm. Furthermore, the MPSO has the advantages of simpler structure and lower computational complexity than the multi-start local search algorithm.

关 键 词：distributed MULTIPLE-INPUT multiple-output(MIMO)radar SUBARRAY selection TARGET tracking TARGET detection particle SWARM optimization(PSO) 

分 类 号：TN958[电子电信—信号与信息处理] TP212[电子电信—信息与通信工程]