分布式多站雷达协同定位功率分配改进凸松弛算法  

Modified Convex Relaxation Algorithm for Power Allocation in Distributed Multi-radar System Used as Target Localization

作　　者：陈志峰 左燕[1] CHEN Zhi-feng;ZUO Yan(Institute of Information and Control,Hangzhou Dianzi University,Hangzhou 310018,China)

机构地区：[1]杭州电子科技大学信息与控制研究所,杭州310018

出　　处：《火力与指挥控制》2020年第6期30-33,共4页Fire Control & Command Control

基　　金：国家自然科学基金面上项目(61673146,61771028);浙江省自然科学基金面上资助项目(LY16F030009)。

摘　　要：针对分布式多站雷达协同定位下的功率分配问题,提出一种改进凸松弛的启发式算法。给出了分布式多站雷达定位误差的克劳美罗下界(CRLB),建立功率约束下最小化CRLB迹的功率分配模型。设计了一种改进凸松弛算法,通过迭代修正松弛参数和快速功率调整策略解决非凸优化问题消除松弛带来的误差。仿真实验表明,相对于均匀功率分配算法和基于凸松弛的功率分配算法,改进凸松弛启发式功率分配算法下目标的定位性能更优。A modified convex relaxation heuristic is developed for power allocation problem in distributed multi-radar localization.A Cramer-Rao lower bound(CRLB)of the target localization in distributed multi-radar system is firstly given in this paper.The trace of CRLB is minimized by optimizing power allocation among the transmitter radars.The resulting nonconvex optimization problem is then solved by a modified convex relaxation algorithm.The algorithm adjusts the power of radar transmitters and updates the relaxation parameters iteratively to reduce the gap from relaxation procedure.The simulation results show that the target position estimation mean square error(MSE)of the proposed convex relaxation heuristic-based power allocation is lower than those of the classical convex relaxation method and uniform power allocation.

关 键 词：分布式多站雷达 克劳美罗下界(CRLB) 功率分配 改进凸松弛算法 

分 类 号：TN953[电子电信—信号与信息处理]