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基于分辨力增益的综合识别传感器管理方法
引用本文:卫杨勇,徐世友,辛玉林,陈曾平.基于分辨力增益的综合识别传感器管理方法[J].电讯技术,2011,51(11):11-15.
作者姓名:卫杨勇  徐世友  辛玉林  陈曾平
作者单位:国防科技大学ATR国防科技重点实验室,长沙,410073
摘    要:为提高目标综合识别的效能,需对综合识别系统中多种传感器资源进行科学管理.在分析综合识别中目标优先级和传感器使用约束条件的基础上,建立了利用分辨力增益作为传感器资源管理优化准则的目标函数,提出了利用传感器混淆矩阵的预测分辨力增益计算方法,并将粒子群优化算法引入传感器-目标分配NP- hard问题的求解中.仿真结果表明该方...

关 键 词:综合识别  传感器管理  分辨力增益  混淆矩阵  粒子群优化

Integrated identification sensor management based on discrimination gain
WEI Yang-yong,XU Shi-you,XIN Yu-lin and CHEN Zeng-ping.Integrated identification sensor management based on discrimination gain[J].Telecommunication Engineering,2011,51(11):11-15.
Authors:WEI Yang-yong  XU Shi-you  XIN Yu-lin and CHEN Zeng-ping
Institution:(Automatic Target Recognition(ATR) National Defense Science and Technology Key Laboratory,National University of Defense Technology,Changsha 410073,China)
Abstract:In order to improve the performance of integrated identification for t argets, multi sensor resources management may be needed in integrated identific a tion system. In this paper the target priority and the restricted condition of s ensor s for integrated identification is analysed, and then an objective function rega rding the discrimination gain as the rule of multi sensor resources management o ptimization is established.A computation method of discrimination gain utilizing sens or confusion matrix is proposed, and particle swarm optimization(PSO) algorithm is introduced into allo cation NP hard problem of sensor to target. The results show the rationality an d efficiency of this method.
Keywords:integrated identification    sensor management  discrimination gain  co nfusion matrix  particle swarm optimization(PSO)
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