基于遗传算法的多传感器多目标静态数据关联

Multi-sensor Multi-target Static Data Association Based on Genetic Algorithm

提出利用遗传算法来解决在传感器存在漏检、检测空域中目标个数未知情况下,单平台多传感器数据融合系统对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,并且提高了多传感器数据融合系统的检测概率.

In this paper, we use Genetic Algorithm to deal with the static problem of associating measurements from multi-sensors in a single platform with missed detection and uncertain number of objects. At last, the experiment results illustrate higher correct association percent and improve detecting probability of multi-sensor data-fusion system.