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基于分辨力增益的综合识别传感器管理方法
卫杨勇,徐世友,辛玉林,陈曾平
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(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。仿真结果表明该方法合理高效。

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

DOI：

基金项目:

Integrated identification sensor management based on discrimination gain

WEI Yang-yong,XU Shi-you,XIN Yu-lin,CHEN Zeng-ping

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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.

Key words: integrated identification sensor management discrimination gain co nfusion matrix particle swarm optimization(PSO)