密集环境下的概率数据关联算法

Probabilistic Data Association Algorithm in Dense Environment

多传感器多目标跟踪的关键是数据关联,K-NN 算法可以解决稀疏环境下的数据关联.概率数据关联(PDA)是在杂波干扰情况下,跟踪单目标有代表性的数据关联算法;但在密集杂波干扰环境下,该算法可能导致错误的关联,从而导致目标的丢失。为解决在一个跟踪门内出现两个或多个目标的情况,可以利用联合概率数据关联算法(JPDA)。

The key is data association in multi-target tracking.PDA is thought to be a very good method for tracking a target in clutter.If another target appears in the target extension gate,the probability calculation is wrong and the tracking result is poor.In order to solve this kind of problem,JPDA is put forward.