遗传算法在多传感器多目标静态数据关联中的应用

Application of Genetic Algorithm in Multi Sensor Multi Target Static Data Association

利用多传感器跟踪多目标技术中最重要的问题是目标关联问题。而常见的关联算法要么计算量大，要么实际运用中效果不理想。本文提出了利用遗传算法来解决无杂波和漏检情况下三种不同类型、不同位置的传感器对数目未知的目标进行检测时的静态数据关联问题。实验结果表明这种算法具有很高的关联成功率。

One of the most important problems that must be resolved in multi target tracking with multi sensor is the data association. But the conventional association algorithm has either heavy computing burden or the result is not ideal. This paper uses genetic algorithm to deal with the static problem of associating measurements used from three distributed heterogeneous sensors without clutter and missed detections.At last,the experimental results illustrate higher correct association percent.