该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等,解决非线性问题的能力比卡尔曼滤波,EKF,UKF好多了,是我珍藏的好东西,现拿出来与大家共享,舍不得孩子套不着狼,希望大家相互支持,共同促进.-the program based on particle filter for a new algorithm, Integrated Bayesian MCMC

给出了kf ekf ukf和upf的matlab源程序，通过简单修改可方便的实现各种系统辨识,Kf ekf ukf given and upf the matlab source code can be easily modified through a simple realization of a variety of system identification

基于非线性动力系统的无迹卡尔曼滤波matlab程序-onlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation.

卡尔曼滤波程序代码，包括EKF UKF CKF-EKF UKF CKF

粒子算法，卡尔曼滤波 粒子算法，卡尔曼滤波-PF EKF UKF PF EKF UKF PF EKF UKF