一种机载分布式MIMO雷达节点位置与路径分步优化管控方法  

A Stepwise Optimization and Control Method for the Node Location and Path of Airborne Distributed MIMO Radar

作　　者：王楚涵 李小龙 望明星 陈哲 张钊 WANG Chuhan;LI Xiaolong;WANG Mingxing;CHEN Zhe;ZHANG Zhao(School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu,Sichuan 611731,China)

机构地区：[1]电子科技大学信息与通信工程学院,四川成都611731

出　　处：《信号处理》2024年第7期1249-1265,共17页Journal of Signal Processing

基　　金：国家自然科学基金(62371113);中国科协青年人才托举工程(YESS20200082);四川省自然科学基金项目(2023NSFSC1386)。

摘　　要：机载分布式多输入多输出(Multiple-Input Multiple-Output,MIMO)雷达系统是基于机载分布式平台,采用多个雷达节点同时发射、同时接收信号的方式,协同处理多雷达回波以提升信噪比,进而提高雷达系统对目标区域的监视性能。系统资源管控能够显著提升节点位置、飞行路径等资源的利用率,增强探测目标能力,是机载分布式MIMO雷达系统的关键技术之一。本文研究了一种机载分布式MIMO雷达节点位置与路径分步优化管控方法。首先,根据雷达系统的探测需求、运动学约束、雷达节点位置等因素,建立了机载分布式MIMO雷达节点位置与路径优化模型。其次,利用粒子群算法(Particle Swarm Optimization,PSO)对机载分布式MIMO雷达节点位置进行优化求解得到各雷达节点最佳布站位置。随后,考虑机载分布式多节点不同路径匹配准则,包括航迹总和最短、最长航迹最短以及航迹残差最小准则,建立了多机协同逐帧路径优化模型,通过遗传算法(Genetic Algorithms,GA)进行逐帧求解,得到不同节点的优化飞行路径。仿真结果表明,相比常规布站方法,所提布站优化方法具有更好的区域监视性能;相比于直线飞行方案,所提路径优化方法所得飞行方案在逐帧区域监视性能上更优。The airborne distributed multiple-input multiple-output(MIMO)radar system is based on airborne distributed platforms.It adopts multiple radar nodes to simultaneously transmit and receive signals and collaboratively processes multiple radar echoes to improve the signal-to-noise ratio.This improves the surveillance performance of the radar system for the detection area.System resource scheduling is a key technology of airborne distributed MIMO radar systems as it can significantly enhance the utilization rate of node positions,the flight path,and other system resources and in-crease the ability of target detection.In this paper,a method of node position and path optimization for airborne distrib-uted MIMO radar is proposed.First,based on the radar system’s detection requirements,kinematic constraints,radar node positions,and other factors,the airborne distributed MIMO radar node position and path optimization models are established.Subsequently,particle swarm optimization(PSO)is utilized to optimize the locations of airborne distrib-uted MIMO radar nodes to obtain the optimal location of each radar node.Thereafter,a frame-by-frame path optimiza-tion model of multi-aircraft cooperation is established considering the different path-matching criteria of airborne distrib-uted multi-nodes,including the shortest sum of flight paths,the shortest length of the longest flight path,and minimum flight path residuals.The optimal flight paths of different nodes are solved using genetic algorithms(GAs)on a frame by-frame basis.The simulation results show that compared with the conventional method,the proposed method has bet-ter surveillance performance.Compared with the scheme of a straight-line flight path,the flight scheme obtained using the proposed path optimization method can achieve better frame-by-frame surveillance performance.

关 键 词：多输入多输出雷达 优化管控 粒子群算法 遗传算法 

分 类 号：TN911.7[电子电信—通信与信息系统]