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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。
In order to solve the problem of the association of the measurement data of the passive sensor system under the condition of missing detection, false alarm and target number of monitoring area, the statistic test and the association algorithm are proposed. The algorithm first uses statistics to test for possible candidate associations, reduces candidate association sets, and then stratifies the relationships by relevance to get the correct association. The test statistic is constructed and the implementation steps of the algorithm are given. Simulation experiments verify the feasibility of the correlation algorithm.