📄 kfmcrunformeasurement.m
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%%% DynaEst 3.032 10/22/2000
% Copyright (c) 2000 Yaakov Bar-Shalom
%
% KalmanFilter, Kalman Filter Algorithm when from measurement
% it's availabe only when SimulationFlag is 4
% Case 4 : No ExternalTruth, ExternalZ : Simulation Flag = 4
Ff = zeros(nxf,nxf);
Gf = zeros(nxf,nvf);
Hf = zeros(nzf,nxf);
If = zeros(nzf,nwf);
Qf = zeros(nvf,nvf);
Rf = zeros(nwf,nwf);
colordef none;
% Monte Carlo runs:
Hf_wait = waitbar(0,'Doing Monte Carlo runs. Please wait...');
Estimation = zeros(nrun,nxf,kmax);
Measurement = ExternalZ;
FilterGain = zeros(nxf,nzf,kmax) ;
for nmc=1:nrun,
waitbar(nmc/nrun);
T = ExternalT(nmc);
[Ff,Gf,Qf] = ProcessModel(FilterModelFlag,nxf,nvf,T,omegaf,x0,Ffstr,Gfstr,Qfstr) ;
[Hf,If,Rf] = ObservationModel(nzf,nwf,Hfstr,Ifstr,Rfstr) ;
% initial condition
clear x P;
x=x0; P=P0; z=zeros(nz,1);
for k=1:kmax
z(:) = ExternalZ(nmc,:,k);
% estimation using Kalman filter
[x,P,xp,PP,S,W,zp,nu]=Kalman(x,P,z,Qf,Rf,vmf,wmf,Ff,Gf,Hf,If);
if SystemModelFlag == 3
temp = x(5) ;
Ff = [ 1 ( sin(temp*T) )/temp 0 -(1-cos(temp*T))/temp 0 ;
0 cos(temp*T) 0 -sin(temp*T) 0 ;
0 (1-cos(temp*T))/temp 1 ( sin(temp*T) )/temp 0 ;
0 sin(temp*T) 0 cos(temp*T) 0 ;
0 0 0 0 1] ;
end
if nmc == 1
for i =1:nxf
for j=1:nzf
FilterGain(i,j,k) = W(i,j) ;
end
end
end
Estimation(nmc,:,k) = x(:);
end% end of k
end% end of nmc
close(Hf_wait);
clear Hf_wait;
% The End
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