文件名称：Matlab关于粒子滤波代码与卡尔曼做比较-粒子滤波代码与卡尔曼做比较.rar
文件大小：14KB
文件格式：RAR
更新时间：2022-09-02 07:10:43
matlab
Matlab关于粒子滤波代码与卡尔曼做比较-粒子滤波代码与卡尔曼做比较.rar 部分程序如下： function ParticleEx1 % Particle filter example, adapted from Gordon, Salmond, and Smith paper. x = 0.1; % initial state Q = 1; % process noise covariance R = 1; % measurement noise covariance tf = 50; % simulation length N = 100; % number of particles in the particle filter xhat = x; P = 2; xhatPart = x; % Initialize the particle filter. for i = 1 : N xpart = x sqrt * randn; end xArr = [x]; yArr = [x^2 / 20 sqrt * randn]; xhatArr = [x]; PArr = [P]; xhatPartArr = [xhatPart]; close all; for k = 1 : tf % System simulation x = 0.5 * x 25 * x / 8 * cos) sqrt * randn;%状态方程 y = x^2 / 20 sqrt * randn;%观测方程 % Extended Kalman filter F = 0.5 25 * / ^2; P = F * P * F' Q; H = xhat / 10; K = P * H' * ^; xhat = 0.5 * xhat 25 * xhat / 8 * cos);%预测 xhat = xhat K * ;%更新 P = * P; % Particle filter for i = 1 : N 运行结果： Figure39.jpg
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Matlab中文论坛--助努力的人完成毕业设计.url
说明.txt
粒子滤波 目标跟踪 一维情况下 非线性非高斯
----Doc1.doc(28KB)
----ParticleEx1.m(4KB)
使用帮助：新手必看.htm