为通过幅值信息进一步提高概率数据关联算法的目标跟踪性能,且考虑到跟踪过程中目标的存在性问题,提出了一种基于幅值信息的集成概率数据关联算法,将幅值似然比引入目标存在概率和关联概率的计算过程中,可以改善集成概率数据关联算法的跟踪性能,提高目标存在性判断的快速性,降低目标丢失概率.最后通过仿真验证了改进算法的有效性. In order to further improve the target tracking performance of the probabilistic data association algorithm through the amplitude information, and considering the existence of the target in the tracking process, an integrated probabilistic data association algorithm based on the amplitude information is proposed, in which the amplitude-to- In the process of calculating the target existence probability and the correlation probability, the tracking performance of the integrated probability data association algorithm can be improved, the rapidity of the target existence judgment can be improved and the probability of target loss can be reduced. Finally, the simulation results show the effectiveness of the improved algorithm.