重庆大学学报2017，Vol.40Issue(1)：103-112,10.DOI:10.11835/j.issn.1000-582X.2017.01.018
基于FM 信号的外辐射源雷达组网系统多传感器选择算法
Sensor subset selection algorithm in FM-based passive radar network system
摘要
Abstract
A novel sensor subset selection algorithm for target parameter estimation in frequency modulated (FM)-based passive radar network was proposed to realize the dynamic coordination of FM signal receivers.By selecting an optimal subset of FM receivers with predetermined subset size,this algorithm can achieve better performance under limited resources.The algorithm uses the coherent Cramer-Rao lower bound (CRLB ) as the cost function, and solves the optimization problem by greedy heuristic algorithm.The simulation results show that the proposed algorithm can not only improve the performance of target parameter estimation under limited system resources,but also greatly reduce the calculation amount,and thus has a strong practicability.关键词
外辐射源雷达/传感器选择/雷达组网系统/启发式算法Key words
frequency modulated (FM )-based passive radar/sensor selection/radar network/heuristic algorithm分类
信息技术与安全科学引用本文复制引用
戴春亮,时晨光,周建江,汪飞..基于FM 信号的外辐射源雷达组网系统多传感器选择算法[J].重庆大学学报,2017,40(1):103-112,10.基金项目
国家自然科学基金资助项目（61371170）；中央高校基本科研业务费专项资金资助（NJ20140010，NP2015404）。Supported by National Natural Science Foundation of China （61371170）；the Fundamental Research Funds for the Central Universities （NJ20140010，NP2015404）． （）
