基于GDOP的K阶覆盖雷达布站优化  

Radar Sites Distribution Optimization of K-Order Coverage Based on GDOP

作　　者：李想 洪升[1] 屈思宇 赵志欣[1] LI Xiang;HONG Sheng;QU Siyu;ZHAO Zhixin(School of Information Engineering,Nanchang University,Nanchang 330031,China)

机构地区：[1]南昌大学信息工程学院,南昌330031

出　　处：《现代雷达》2022年第10期7-13,共7页Modern Radar

基　　金：国家自然科学基金资助项目(61661032);江西省自然科学基金面上项目(20181BAB202002);江西省博士后科研项目择优资助(2017KY36);中国博士后科学基金面上项目(2017M622102)。

摘　　要：无源雷达对目标的探测和覆盖性能依赖于接收站的几何布局,因此对接收站位置进行优化是十分必要的。文中以目标定位几何精度因子(GDOP)作为雷达目标探测性能的衡量指标,综合考虑对探测目标的覆盖性能,建立了基于GDOP的K阶覆盖接收站位优化模型。该模型要求在雷达网络重点探测区域,目标至少被K种最小定位方式以较小的GDOP进行定位,从而保证了雷达定位精度和覆盖性能,并提出了一种禁忌搜索-模拟退火算法对该模型进行求解。仿真结果表明,算法能有效求解所提接收站优化配置问题,并能保证所优化配置的雷达网络同时具备较高的定位性能和覆盖性能。The detection and coverage performance of passive radar depends on the geometry layout of the receiving station,thus it is necessary to optimize the location of the receiving station.In this paper,by taking the geometrical dilution of precision(GDOP)as the metric of radar target positioning performance,and jointly considering the coverage performance of the detected target,the K order coverage station location optimization model based on GDOP is established.This model requires that the target can be positioned with a smaller GDOP under at least K minimum positioning mode in the key detection area of radar network,which ensures the performance of radar positioning accuracy and radar coverage.In this paper,a Tabu search-simulated annealing algorithm is proposed to solve the optimization model.The simulation results show that this algorithm can effectively solve the proposed problem of optimal allocation of receiving stations,and ensure that the radar network with the optimal station allocation has higher positioning performance and coverage performance.

关 键 词：K阶覆盖 禁忌搜索 模拟退火 优化布站 

分 类 号：TN958.97[电子电信—信号与信息处理]