一种改进剪枝合并的GM-PHD方法

An Improved Algorithm of Pruning and Merging Based on GM-PHD

针对剪枝合并过程中,考虑参数不周而导致跟踪精度下降的问题,对GM-PHD滤波器的剪枝合并方法进行了优化。在传统剪枝合并的基础上,引入协方差阵P(j)k,并对合并距离d做出优化。在杂波环境下,改进算法有效地提高了目标跟踪精度。仿真实验表明,改进剪枝合并的GM-PHD方法跟踪精度更高,同时对目标数目的估计更加准确。

In the process of pruning and merging,the tracking accuracy may be reduced owing to poor parameters considered.Aiming at this problem,this paper puts forward an improved algorithm of pruning and merging based on GM-PHD filter. On the basis of the traditional pruning and merging,the covariance matrix P（ j）kis introduced,and the merging distance d is optimized. In clutter environment,the improved algorithm can effectively improve the accuracy of target tracking. The simulation results show that the improved GM-PHD method has higher tracking accuracy and more accurate estimation of the number of targets.