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資源簡介

利用變分貝葉斯方法進行目標跟蹤,并且適用于噪聲統(tǒng)計特性未知的情況。

資源截圖

代碼片段和文件信息

function?[xkkPkkukkUkkD_Pk1kD_R]=aprivbkf(xkkPkkukkUkkFHzQRNtao1rou)

%%%%%%
nz=size(z1);

nx=size(xkk1);

%%%%%Time?update
xk1k=F*xkk;

Pk1k=F*Pkk*F‘+Q;

tk1k=(nx+1+tao1);

Tk1k=tao1*Pk1k;

uk1k=rou*(ukk-nz-1)+nz+1;

Uk1k=rou*Ukk;

%%%%%Measurement?update
xkk=xk1k;

Pkk=Pk1k;

for?i=1:N
????
????%%%%%%%Update?IW?distribution?parameters?for?Pk1k
????Ak=(xkk-xk1k)*(xkk-xk1k)‘+Pkk;?????%%%%
????
????tkk=tk1k+1;????????????????????????%%%%
????
????Tkk=Tk1k+Ak;???????????????????????%%%%
????
????E_i_Pk1k=(tkk-nx-1)*inv(Tkk);??????%%%%

????%%%%%%%Update?IW?distribution?parameters?for?Rk
????Bk=(z-H*xkk)*(z-H*xkk)‘+H*Pkk*H‘;??%%%%
????
????ukk=uk1k+1;????????????????????????%%%%
????
????Ukk=Uk1k+Bk;???????????????????????%%%%
????

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????1135??2018-01-02?14:30??Matlab?code?for?the?paper?‘A?Novel?Adaptive?Kalman?Filter?with?Inaccurate?Process?and?Measurement?Noise?Covariance?Matrices‘\aprivbkf.m
?????文件?????????245??2018-01-02?14:29??Matlab?code?for?the?paper?‘A?Novel?Adaptive?Kalman?Filter?with?Inaccurate?Process?and?Measurement?Noise?Covariance?Matrices‘\kf.m
?????文件????????4390??2018-01-02?14:31??Matlab?code?for?the?paper?‘A?Novel?Adaptive?Kalman?Filter?with?Inaccurate?Process?and?Measurement?Noise?Covariance?Matrices‘\main.m
?????文件?????????648??2011-03-30?14:51??Matlab?code?for?the?paper?‘A?Novel?Adaptive?Kalman?Filter?with?Inaccurate?Process?and?Measurement?Noise?Covariance?Matrices‘\utchol.m
?????目錄???????????0??2018-01-02?14:39??Matlab?code?for?the?paper?‘A?Novel?Adaptive?Kalman?Filter?with?Inaccurate?Process?and?Measurement?Noise?Covariance?Matrices‘\

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