document contains five elements : an extended Kalman Filter EKF two, Partial conversion to CMKF three Kalman filtering, and the least squares method to be four, least squares, EKF. Comparison of five CMKF, excluding outliers algorithm in MATLAB these algorithms and specific requirements

仿真结果





........\cmkf与ekf方位角估计误差比较.bmp
........\cmkf俯仰角估计.bmp
........\cmkf方位角估计.bmp
........\cmkf方位角估计误差.bmp
........\cmkf距离估计.bmp
........\ekf俯仰角估计.bmp
........\ekf方位角估计.bmp
........\ekf方位角估计误差.bmp
........\ekf距离估计.bmp
........\最小二乘俯仰角估计.bmp
........\最小二乘法方位角估计.bmp
........\最小二乘距离估计.bmp
仿真结果图片.exe
程序
....\CMKF.m
....\compareEandC.asv
....\compareEandC.m
....\EKF.m
....\GetR.m
....\MYInit.m
....\RemoveWilddata.m
....\source.m
程序说明.doc

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