Introduction - If you have any usage issues, please Google them yourself
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
Packet : 8736103105040031.rar filelist
程序说明.doc
仿真结果图片.exe
程序\CMKF.m
程序\compareEandC.asv
程序\compareEandC.m
程序\EKF.m
程序\GetR.m
程序\MYInit.m
程序\RemoveWilddata.m
程序\source.m
程序
仿真结果\cmdf与ekf俯仰角估计误差比较.bmp
仿真结果\cmdf与ekf俯仰角估计误差比较1.bmp
仿真结果\cmdf与ekf方位角估计误差比较a.bmp
仿真结果\cmdf与ekf方位角估计误差比较b.bmp
仿真结果\cmdf与最小二乘俯仰角估计误差比较.bmp
仿真结果\cmkf与ekf方位角估计误差比较.bmp
仿真结果\cmkf俯仰角估计.bmp
仿真结果\cmkf方位角估计.bmp
仿真结果\cmkf方位角估计误差.bmp
仿真结果\cmkf距离估计.bmp
仿真结果\ekf俯仰角估计.bmp
仿真结果\ekf方位角估计.bmp
仿真结果\ekf方位角估计误差.bmp
仿真结果\ekf距离估计.bmp
仿真结果\Thumbs.db
仿真结果\最小二乘俯仰角估计.bmp
仿真结果\最小二乘法方位角估计.bmp
仿真结果\最小二乘距离估计.bmp
仿真结果