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最近因为要用到Kalman滤波器做东西,所以一直在学习这个东西,鉴于之前的仿真都是用matlab做的,所以呢,kalman滤波器的仿真程序也是用matlab编的。痛苦了几天,几天这个函数终于搞定了,具体的分析如下。function [zx,zy]=xyKalmanFliter(A,H,Rw,Rv,Rw_c,Rv_c,x0,p0,y)
) m& b ~. {4 U a" H" m! G%----------------输入参数--------------------------------------------------
! f/ T0 R% N3 X" r& H% ^. _% A -- 系统矩阵
- h; ?& f4 E1 M% H -- 观察矩阵
) c9 }1 K5 u- h* H1 w& ?% Rw -- 扰动向量# |, s4 K4 _; J8 Y+ W
% Rv -- 测量噪声* i, h* I! r& G5 l! X2 O
% Rw_c -- 扰动向量的协方差: _ i( T: @6 o* g
% Rv_c -- 测量噪声的协方差
7 [6 k* K L9 w- [0 ?- R% L% x0 -- 节点初始位置向量(x,y)'7 [# {# l) ]6 E0 z$ I: A* Z
% p0 -- 初试协方差阵
6 {2 \5 S9 D" T6 B% y -- 采样周期
* b; y8 ~) S4 M- M/ k+ v5 Y8 C%--------------------------------------------------------------------------
# K% R, ]% J6 F( N; U* J+ @%--------------------------------------------------------------------------& N1 X9 C9 \! p9 e# D& Q. [
% X(k) = A*X(k) + Rw(k) 噪声Q; u/ c, b h5 [/ z3 v" G5 S# f
% Z(k) = H*X(k) + Rv(k) 噪声R8 T! m# x$ s2 w. L5 M: [
% x(k|k-1) = A*x(k-1|k-1) + B*U(k)
3 r& P# K, X: y0 @& ]- u% P(k|k-1) = A*P(k-1|k-1)*A' + Q
* E% `* d. T, N; M% x(k|k) = x(k|k-1) + kg(k)*(z(k)-H*s(k|k-1))
6 H" ^9 c% v% V8 i- w) t1 K! R% kg(k) = P(k|k-1)*H' / (H*P(k|k-1)*H' + R)6 A1 D/ U6 I0 R
% P(k|k) = (I-kg(k)*H)*P(k|k-1)" K6 ]7 R$ M$ D1 p! O0 j- P- e
%-------------------------------------------------------------------------- len = length( y ); %获取采样点数 r = size(A,1); %获取系统矩阵A的行数* Q5 G: S+ V% K9 z
I= eye( r(1) ); %生成单位矩阵
" P3 `* P$ S" H+ Z P1 = zeros( r(1),r(1) ); %初始化协方差阵 %初始化节点位置,协方差阵9 d X, b$ b% C; L. X& t6 G0 j
X = x0;
% f- i& q& F" m) V% F P = p0; len1 = size( H*X ,1);
+ G" [' O$ N' l$ }% Z0 T4 c for s=1:1:len
, H" w4 f# p4 z- W z1 = A*X+ Rw; % X(k) = A*X(k) + Rw(k) 协方差 Rw_c$ s4 Y! D" U' w/ c) A3 F7 `6 C& i
zx(1:r(1),s) = z1(1:r(1)) ;
# r9 D ]- L8 k' O( ? z2 = H*X + Rv; % Z(k) = H*X(k) + Rv(k) 协方差 Rv_c
; l2 C: _6 |5 ^ zy(1:len1,s) = z2(1:len1 );: ^# t% ^' M5 Z! t0 K$ @
0 D# k' Q" K b2 B! A. K P1 = A*P*A' + Rw_c; % P(k|k-1) = A*P(k-1|k-1)*A' + Q9 P& G) \- l- h% \
K = P1*H'*inv( H*P1*H' + Rv_c ); % kg(k) = P(k|k-1)*H' / (H*P(k|k-1)*H' + R): S ~- ~7 `' ^, d+ s) _( z+ A/ C% F
X = A*X + K*( zy(1:len1,s) - H*A*X ); % x(k|k) = x(k|k-1) + kg(k)*(z(k)-H*s(k|k-1))
( `. |/ ~' h/ y6 {! f+ i P = ( I - K*H ) * P1; % P(k|k) = (I-kg(k)*H)*P(k|k-1)
2 G( n; u9 [5 q. _( z, g" ]2 b end ; p* @* H/ L6 ~" d
return 原文地址:转:Kalman滤波的Matlab仿真程序解读作者:浩瀚
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