基于改进单亲遗传算法的被动传感器数据关联  

Data association for passive sensor based on improved partheno-genetic algorithm

作　　者：刘航[1] 窦丽华[1] 辛斌[1] 董领逊[1] 

机构地区：[1]北京理工大学信息科学技术学院,北京100081

出　　处：《控制与决策》2008年第4期464-467,472,共5页Control and Decision

基　　金：北京市教育委员会基建重点实验室基金项目(CSYS100070417)

摘　　要：主要研究了两被动传感器的数据关联方法.首先建立了两传感器联合关联概率数学模型,将求解后验概率的极大值问题转化为求解特殊的指派问题;然后提出了一种改进型单亲遗传算法求解此问题,并从理论上证明了该算法的封闭性和可达性.仿真结果表明,所提出的方法收敛速度快、关联正确率高,验证了模型和求解方法的正确性、可行性.The data association for two passive sensors is concerned. The mathematical model of joint data association for two passive sensors is established, The problem of searching for a maximum of the posterior probability is transformed into a particular assignment problem, then a improved partheno-genetic algorithm is proposed to solve it and the closeness and accessibility of the method are proved. Simulation results show that the proposed method has the character of fast convergence and high association accuracy, which indicates the effectiveness and feasibllity of the model,

关 键 词：数据关联 被动传感器 单亲遗传算法 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TP022[自动化与计算机技术—控制科学与工程]