Dev tools: matlab
File size: 10 KB
Update: 2010-02-03
Downloads: 15
Describe:
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
File list(Click to check if it's the file you need, and recomment it at the bottom):
程序\CMKF.m
....\compareEandC.asv
....\compareEandC.m
....\EKF.m
....\GetR.m
....\MYInit.m
....\RemoveWilddata.m
....\source.m
程序
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morphology_filtering.rar] - morphology filtering
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calll2bp5.rar] - Bandpass filter graphics rendering coordinate correspondence has been changed while the drawing data: 12.12
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Kalman_matlab00000.rar] - user interface with Matlab Kalman filtering procedures, Matlab-Tracking- GUI, Notes, for all three sample study, can understand the design of the Kalm
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VCtracking.rar] - Written with visual c++ simulation of aircraft flight tracks, including the VC source code and simulation of flight plans.
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EKF.rar] - Extended Kalman filter algorithm, the application of a lot can change in the context of applications, a little foundation on the download, the procedu
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planeDoc.rar] - Path Planning. In a given three-dimensional space to search for a safe and feasible UAV flight path
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BTOandUKF.rar] - This procedure is the use of matlab prepared UKF algorithm based on non-cooperative passive positioning procedures.
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RLS.rar] - Recursive least squares filter algorithm, that contains the single-frequency sinusoidal signal and the actual voice signal processing results
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ins.rar] - I have written the application of robust filtering algorithm used in inertial navigation system in the initial alignment, static base
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05040031.rar] - document contains five elements : an extended Kalman Filter EKF two, Partial conversion to
CMKF three Kalman filtering, and the least squares method t