分布式网状被动传感器系统量测数据关联  

Measurement data association algorithm for the netted passive sensor system

作　　者：刘宗香[1] 谢维信[2] 杨烜[2] 

机构地区：[1]西安电子科技大学电子工程学院,陕西西安710071 [2]深圳大学信息工程学院,广东深圳518060

出　　处：《系统工程与电子技术》2004年第12期1770-1773,共4页Systems Engineering and Electronics

基　　金：深圳市科技局项目资助课题(200335)

摘　　要：为解决漏检、虚警、监视区目标数量未知情况下被动传感器系统量测数据关联问题提出了统计量检验及关联度极大寻优关联算法。该算法首先采用统计量检验删除不可能的候选关联,减小候选关联集,然后按关联度分层搜索得到正确关联。构建了检验统计量并给出了算法的实现步骤。仿真实验验证了关联算法的可行性。To solve the data association problem in presence of missed detection, false alarm and an unknown number of targets in a passive sensor system, a data association algorithm using statistic test and maximization research based on the correlative degree is proposed. First, the statistic test is utilized to screen out the improbable candidate associations, hence reducing the set of candidate associations, then the hierachical searching based on the correlative degree is utilized to obtain the correct correlative set. The association statistics are constructed and the steps of the algorithm are presented. Simulation results show its validity and feasibility.

关 键 词：数据融合 数据关联 统计量检验 被动传感器 

分 类 号：TN953[电子电信—信号与信息处理]