一种超宽带雷达多人体目标跟踪算法

Algorithm for Multiple Human Targets Tracking with Ultra-wideband Radar

提出了一种超宽带雷达对多个运动人体距离跟踪的方法。该方法基于人体多散射点的回波模型,利用CLEAN算法提取人体多个散射点的量测信息,结合最近邻域和联合概率数据互联算法,提出了一种简易最近邻联合概率数据互联算法,以解决多个人体目标轨迹交叉时数据关联的问题。通过对实测数据的处理,证明了该算法能够对轨迹交叉的人体目标进行有效跟踪。

A method to track the range of muhiple moving humans using ultra-wideband （UWB） radar is carried out. Based on the returned UWB scattered waveform model from human to extract human multi-scatters through the CLEAN algorithm, a cheapness nearest neighbor joint probabilistic data association algorithm（CNNJPDA） is carried out, which combines with the nearest neighbor algorithm and joint probabilistic data association algorithm. At the same time, the data association problems can be solve when the multiple human targets overlap. Experiment results show that the proposed algorithm can effectively track human targets, even though the targets overlap in range.