EKF-PFfor-LOSand-NLOS

代码说明：

  该算法能实现在LOS/NLOS环境下对机动目标的良好跟踪，并行使用KALMAN和PARTICLE滤波器(the proposed algorithm can achieve better performance for target tracjing)

文件列表：

对比EKF－PF－IMM针对LOS和NLOS
.............................\data_create.asv,1322,2012-10-19
.............................\data_create.m,1378,2012-10-19
.............................\EKF.asv,1379,2012-10-19
.............................\EKF.m,1290,2012-10-19
.............................\ekfilter.asv,706,2012-10-19
.............................\ekfilter.m,742,2012-10-19
.............................\gs.mat,2721,2012-10-19
.............................\immpf1.asv,2266,2012-10-19
.............................\main.asv,4736,2012-10-19
.............................\main.m,4736,2012-10-19
.............................\particlefilter.asv,2748,2012-10-19
.............................\particlefilter.m,2795,2012-10-19
.............................\pf.m,2185,2012-10-19
.............................\zs%2Bgs.mat,2716,2012-10-19
.............................\zs.mat,2695,2012-10-19
.............................\仿真图
.............................\......\2高斯60%2B3指数200.fig,29058,2012-10-25
.............................\......\指数－均值是200.fig,24288,2012-10-25
.............................\......\高斯-方差是60.fig,24340,2012-10-25