Feature Aided Gaussian Mixture Probability Hypothesis Density Filter with Modified 2D Assignment
会议名称：《2011 CIE International Conference on Radar(RADAR 2011)》
会议日期：2011年
学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
关 键 词：multi-target tracking Gaussian mixture probability hypothesis density feature aided data association modified 2-D assignment
摘 要：In order to track multiple targets with time-varying number of targets, the paper proposed a new feature aided Gaussian mixture probability hypothesis density （FA-GM-PHD） filter, and adopts a modified 2-D assignment algorithm to carry out the data association and manage the tracks in the FA-GM-PHD filter. The target feature information incorporated into the FA-GM-PHD filter is target Doppler and target down-range extent. With two typical multi-target tracking scenarios, the simulation results in the paper have verified that the FA-GM-PHD filter has much higher correct data association probability and filtering precision of target states than GM-PHD, and it can estimate the number of targets more stably and precisely than GM-PHD. The main shortcoming of FA-GM-PHD is that it has delayed estimate of target’s number at the spawning time than GM-PHD, which will be studied in the future work.