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[Other resource] 05040031 DL : 0: 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
Update : 2008-10-13 Size : 221.66kb Publisher : jiji
[matlab] 05040031 DL : 0: 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
Update : 2025-02-19 Size : 221kb Publisher : jiji
[Other] GPSorbit DL : 1: 程序主要包括：1．MyInit.m 数据初始化输出参数： XTrueZ 目标真实轨迹 Z0 目标观测值 T 采样周期 Q 系统误差阵 DeltaR 距离误差 DeltaSita 方位角误差 DeltaBeta 俯仰角误差 totaltime 运动时间 montimes 蒙特卡罗仿真次数 2． EKF.m [Z1]= EKF Z1: 输出EKF滤波后结果 3. CMKF.m [Z2]= CMKF Z2: 输出CMKF滤波后结果 4. GetR.m CMKF算法中误差阵R的计算 5． CompareEandC.m EKF和CMKF、最小二乘滤波后结果比较部分绘图代码不全，具体结果请参见信号实验作业.doc 文档 6．source.m 产生带野值的数据 7. RemoveWilddata.m 野值剔除算法 -Procedures will include: 1. MyInit.m initialization data output parameters: XTrueZ target the real target trajectory Z0 sampling period T observed value Q system error array DeltaR distance error DeltaSita azimuth error DeltaBeta pitch angle error totaltime exercise time montimes the number of Monte-Carlo simulation 2. EKF.m [Z1] = EKF Z1: Output EKF filtered results 3. CMKF.m [Z2] = CMKF Z2: Output CMKF filtered results 4. GetR.m CMKF algorithm for the calculation of error R array 5. CompareEandC.m EKF and CMKF, least-squares filtering Comparison of part of the drawing code after the failure, specifically the results of experimental work, see the signal. Doc document 6. source.m generate the data with outliers 7. RemoveWilddata.m outliers removed Algorithm
Update : 2025-02-19 Size : 10kb Publisher : yanghaiyan
[Other] CMKF--filter DL : 0: 转换测量卡尔曼滤波器综合应用实现，包括子程序-Converted Measurement Kalman filter integrated application implementations, including subroutines
Update : 2025-02-19 Size : 1kb Publisher : 王迁
[matlab] RadarCMKF DL : 0: 雷达CMKF跟踪算法实例,包含目标状态向量的产生，量测产生。-radar target tracking algorithm with cmkf, including generating target state, target measurements.
Update : 2025-02-19 Size : 1kb Publisher : liualiang
[OpenGL program] 56205308 DL : 0: 扩展卡尔曼滤波EKF 去偏转换卡尔曼滤波CMKF 最小二乘拟和的方法-Extended kalman filter and EKF to partial transformation of kalman filtering CMKF least-square fitting and method
Update : 2025-02-19 Size : 9kb Publisher : qxax-3025
[GIS program] 247374 DL : 0: 扩展卡尔曼滤波EKF 去偏转换卡尔曼滤波CMKF 最小二乘拟和的方法-Extended kalman filter and EKF to partial transformation of kalman filtering CMKF least-square fitting and method
Update : 2025-02-19 Size : 9kb Publisher : distinguiwh
[Picture Viewer] xeteqd DL : 0: 扩展卡尔曼滤波EKF 去偏转换卡尔曼滤波CMKF 最小二乘拟和的方法-Extended kalman filter and EKF to partial transformation of kalman filtering CMKF least-square fitting and method
Update : 2025-02-19 Size : 9kb Publisher : peapcrary
[OpenGL program] gartial_method_method DL : 0: 扩展卡尔曼滤波EKF 去偏转换卡尔曼滤波CMKF 最小二乘拟和的方法-Extended kalman filter and EKF to partial transformation of kalman filtering CMKF least-square fitting and method
Update : 2025-02-19 Size : 10kb Publisher : Lyuihe
[Other] pdsv951 DL : 0: 扩展卡尔曼滤波EKF 去偏转换卡尔曼滤波CMKF 最小二乘拟和的方法(Extended kalman filter and EKF to partial transformation of kalman filtering CMKF least-square fitting and method)
Update : 2025-02-19 Size : 9kb Publisher : Anyelb