GM-PHD

代码说明：

  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.)

文件列表：

GM-PHD
......\1
......\.\extendedTargetPHDfilter.m,6084,2013-09-12
......\.\extendedTargetTrackingPHD.m,5681,2013-09-11
......\.\extendedTargetTrackingPHD_mulitpleTargets.m,6965,2010-05-19
......\.\generateClutter.m,488,2010-03-08
......\.\generateExtendedMeasurements.m,912,2013-09-11
......\.\initParameters_project.m,1113,2010-05-19
......\.\partitionMeasurementSet_4.m,4807,2013-09-12
......\.\phdFilter.m,3715,2010-05-19
......\.\phdPruning.m,1036,2010-05-19
......\.\phdStateExtraction.m,266,2010-05-19
......\.\plotPHDsurface.m,951,2010-05-19
......\.\README.txt,760,2010-05-24
......\.\Sigmacircle.m,245,2010-05-19