EKF例程 matlab

% 不含IMU误差方程的EKF滤波典型程序，适用于多次滤波的第二级

% author:Evand

% date: 2023-09-20

% Ver1

clear;clc;close all;

global T

%% initial

T = 0.1; %采样率

t = [T:T:100];

Q = 0.1diag([1,1,1]);w=sqrt(Q)randn(size(Q,1),length(t));
R = 1 diag([1,1,1]);v=sqrt®randn(size(R,1),length(t));
P = 1 eye(3);
P_num = zeros(length(t),size(P,1),size(P,2)); %存放每次迭代的P
X=zeros(3,length(t));
X_ekf=zeros(3,length(t));
X_ekf(1,1)=X(1,1);
Z=zeros(3,length(t)); %定义观测值形式
Z(:,1)=[X(1,1)^2/20;X(2,1);X(3,1)]+v(:,1); %观测量
%% model
X_=zeros(3,length(t));
X_(:,1)=X(:,1);
for i1 = 2:length(t)
X(:,i1) = [1 * X(1,i1-1) + (2.5 * X(1,i1-1) / (1 + X(1,i1-1).^2)) + 8 * cos(1.2 (i1-1));

X(2,i1-1)+1;

(2X(3,i1-1)+1)^0.5]; %真实值
X_(:,i1) = [1 * X_(1,i1-1) + (2.5 * X_(1,i1-1) / (1 + X_(1,i1-1).^2)) + 8 * cos(1.2 (i1-1));

X_(2,i1-1)+1;

X_(3,i1-1)] + w(:,i1-1);%未滤波的值

Z(:,i1) = [X(1,i1).^2 / 20;X(2,i1);X(3,i1)] + v(i1); %观测值

end

%% EKF

for k = 2 : length(t)

Xpre = [1X_ekf(1,k-1)+ 2.5 X_ekf(1,k-1)./(1+X_ekf(1,k-1).^2) + 8 * cos(1.2*(k-1));

X_ekf(2,k-1)+1;

X_ekf(3,k-1)]+w(:,k-1);

Z_hat =[Xpre(1).^2/20;Xpre(2);Xpre(3)];

F = [1 + 2.5 * (1-X_ekf(1,k-1).^{2)/((1+X_ekf(1,k-1).}2).^2),0,0;

0,1,0;

0,0,(2X_ekf(3,k-1)+1)^(-0.5)];
H = [Xpre(1)/10,0,0;
0,1,0;
0,0,1];
PP=F PF'+Q;
Kk=PP H'/(HPP H'+R);

X_ekf(:,k)=Xpre+Kk*(Z(:,k)-Z_hat);

P=PP-KkH PP;

end

%% display

figure;

subplot(3,1,1);

plot(t,X(1,:),t,X_ekf(1,:));

title('EKF');

legend('real','EKF');

subplot(3,1,2);

plot(t,X(2,:),t,X_ekf(2,:));

subplot(3,1,3);

plot(t,X(3,:),t,X_ekf(3,:));

figure;

subplot(3,1,1); %1st

plot(t,X_ekf(1,:)-X(1,:),t,X_(1,:)-X(1,:));

title('Err');

legend('EKF','without KF');

\~,p1\] = max(abs(X_ekf(1,:)-X(1,:))); h = gca().Children(1); datatip(h,p1*T-1,X_ekf(1,p1)-X(1,p1)); \[\~,p2\] = max(abs(X_(1,:)-X(1,:))); datatip(h,p2* T-1,X_(1,p2)-X(1,p2)); subplot(3,1,2); %2nd plot(t,X_ekf(2,:)-X(2,:),t,X_(2,:)-X(2,:)); subplot(3,1,3); %3rd plot(t,X_ekf(3,:)-X(3,:),t,X_(3,:)-X(3,:)); \[\~,p1\] = max(abs(X_ekf(3,:)-X(3,:))); h = gca().Children(1); datatip(h,p1*T-1,X_ekf(3,p1)-X(3,p1)); \[\~,p2\] = max(abs(X_(3,:)-X(3,:))); datatip(h,p2*T-1,X_(3,p2)-X(3,p2)); figure; subplot(3,1,1); %1st cdfplot(abs(X_ekf(1,:)-X(1,:))); hold on cdfplot(abs(X_(1,:)-X(1,:))); legend('EKF','without KF'); subplot(3,1,2); %2nd cdfplot(abs(X_ekf(2,:)-X(2,:))); hold on cdfplot(abs(X_(2,:)-X(2,:))); subplot(3,1,3); %3rd cdfplot(abs(X_ekf(3,:)-X(3,:))); hold on cdfplot(abs(X_(3,:)-X(3,:)));