| 基于FM信号的外辐射源雷达组网系统多传感器选择算法 |
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| 引用本文： | 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(自然科学版),2017,40(1):103-112. |
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| 作者姓名： | 戴春亮 时晨光 周建江 汪飞 |
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| 作者单位： | 1. 中航工业沈阳飞机设计研究所 隐身技术航空科技重点实验室,沈阳,110001;2. 南京航空航天大学 雷达成像与微波光子技术教育部重点实验室,南京,210016 |
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| 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）。 |
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| 摘 要： | 提出一种基于调频广播(FM)信号的外辐射源雷达组网系统多传感器快速启发式算法,目的是使系统能够动态地协调各部FM信号接收机的使用,进而在资源有限的条件下达到更好的目标参数估计性能。该算法采用相干克拉美罗界(CRLB)作为代价函数,并通过贪婪快速启发式算法对优化问题进行了求解。仿真结果表明,所提算法不仅可以在系统资源有限的情况下提升目标的参数估计性能,而且可以大大减小计算量,具有很强的实用性。
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| 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 |
| 收稿时间： | 2016/7/20 0:00:00 |
Sensor subset selection algorithm in FM-based passive radar network system |
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| DAI Chunliang,SHI Chenguang,ZHOU Jianjiang and WANG Fei.Sensor subset selection algorithm in FM-based passive radar network system[J].Journal of Chongqing University(Natural Science Edition),2017,40(1):103-112. |
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| Authors: | DAI Chunliang SHI Chenguang ZHOU Jianjiang and WANG Fei |
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| Institution: | Aviation Key Laboratory of Science and Technology on Stealth Technology, Shenyang Aircraft Design & Research Institute, Shenyang 110001, P. R. China,Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China,Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China and Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China |
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| 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. |
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| Keywords: | frequency modulated(FM)-based passive radar sensor selection radar network heuristic algorithm |
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