文件名称:05040031
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文件包含有5项内容：
一、扩展卡尔曼滤波EKF
二、去偏转换卡尔曼滤波CMKF
三、最小二乘拟和的方法
四、最小二乘、EKF、CMKF的比较
五、野值剔除算法
用MATLAB实现了这些具体算法和要求
-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
一、扩展卡尔曼滤波EKF
二、去偏转换卡尔曼滤波CMKF
三、最小二乘拟和的方法
四、最小二乘、EKF、CMKF的比较
五、野值剔除算法
用MATLAB实现了这些具体算法和要求
-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
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下载文件列表
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
........\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