| 粒子优化组合的粒子滤波跟踪算法研究 |
| |
| 引用本文： | 文如泉,张龙滨,曹洁.粒子优化组合的粒子滤波跟踪算法研究[J].现代雷达,2011,33(4):49-52. |
| |
| 作者姓名： | 文如泉 张龙滨 曹洁 |
| |
| 作者单位： | 1. 萍乡高等专科学校机械电子工程系,江西萍乡,337000
2. 兰州理工大学电气工程与信息工程学院,兰州,730050 |
| |
| 摘 要： | 为了改善运动目标跟踪问题中粒子滤波算法(PF)的估计精度,针对粒子滤波出现样本退化以及样本贫乏问题,提出了一种基于粒子优化组合的粒子滤波算法(POCPF)。该算法用一能使粒子朝后验概率分布值较大的区域运动的似然函数来改善粒子的位置,然后重估粒子的权值对粒子进行优化组合,满足粒子的多样性要求,从而克服了粒子的贫乏问题,在一定程度上减少系统状态为达到精确度所需的粒子数目,缩短运行时间。通过仿真实验证明了POCPF算法的有效性,当粒子数相同时,POCPF算法性能优于PF算法。
|
| 关 键 词： | 粒子滤波 粒子退化 粒子优化组合 运动目标跟踪 |
A Study on Particle Filtering Tracking Algorithm of Particle Optimal Combination |
| |
| WEN Ru-quan,ZHANG Long-bin,CAO Jie.A Study on Particle Filtering Tracking Algorithm of Particle Optimal Combination[J].Modern Radar,2011,33(4):49-52. |
| |
| Authors: | WEN Ru-quan ZHANG Long-bin CAO Jie |
| |
| Affiliation: | WEN Ru-quan1,ZHANG Long-bin1,CAO Jie2(1.Mechanical and Electronic Engineering Department,Pingxiang College,Pingxiang 337000,China)(2.School of Electronical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050,China) |
| |
| Abstract: | To improve the filtering precision when dealing with the state estimation problem of moving target tracking,A particle optimal combination particle filtering(POCPF) algorithm is proposed according to particle degradation and particle impoverishment caused by particle-resample.The new particle algorithm uses a likelihood function to improve the location of particles.And the likelihood function can make particles move towards regions where they have larger values of posterior density function.Then it reassess... |
| |
| Keywords: | particle filter particle degradation particle optimal combination moving target tracking |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
