文件名称:GPSorbit
- 所属分类：
- 其他小程序
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 10kb
- 下载次数：
- 1次
- 提 供 者：
- yangh*****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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
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
(系统自动生成,下载前可以参看下载内容)
下载文件列表
程序\CMKF.m
....\compareEandC.asv
....\compareEandC.m
....\EKF.m
....\GetR.m
....\MYInit.m
....\RemoveWilddata.m
....\source.m
程序
....\compareEandC.asv
....\compareEandC.m
....\EKF.m
....\GetR.m
....\MYInit.m
....\RemoveWilddata.m
....\source.m
程序