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.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
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)
