基于GA的漏检情况下多传感器多目标数据关联算法

研究了漏检情况下多传感器多目标检测中的数据关联问题，并将其描述为数学规划中组合最优化问题，当传感器大于３时，该问题的求解是ＮＰ的。提出一种基于ＧＡ（Ｇｅｎｅｔｉｃ Ａｌｇｏｒｉｔｈｍ）的数据关联算法，仿真实验表明，该算法具有较高的关联成功率，并能优化求解的多目标个数，提高多传感器系统的检测概率。

A GA-based Data Association Algorithm for Multisensor Multitarget Detection under Leakage

This paper studies the problem of data association in multisensor multitarget detection under the condition of leakage and describes it as combinatorial optimization in mathematical programming. The solution of that problem is NP if the number of targets is bigger than 3. A data association algorithm based on Genetic Algorithm is given in this article and simulation experiment shows that this algorithm has high association rate, can optimize the number of targets and increase the detection probability of multiple sensor system.