文件名称:GM-PHD
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内容包括高斯混合概率假设密度滤波器仿真程序，GM-PHD滤波器提供了一种PHD滤波器工程化的方法，在无数据关联的情况下进行目标跟踪。-This algorithm is extended to accommodate mildly nonlinear target
dynamics using approximation strategies from the extended and
unscented Kalman filters.
dynamics using approximation strategies from the extended and
unscented Kalman filters.
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下载文件列表
GM-PHD
......\1
......\.\extendedTargetPHDfilter.m
......\.\extendedTargetTrackingPHD.m
......\.\extendedTargetTrackingPHD_mulitpleTargets.m
......\.\generateClutter.m
......\.\generateExtendedMeasurements.m
......\.\initParameters_project.m
......\.\partitionMeasurementSet_4.m
......\.\phdFilter.m
......\.\phdPruning.m
......\.\phdStateExtraction.m
......\.\plotPHDsurface.m
......\.\README.txt
......\.\Sigmacircle.m