Research of multiple model particle filter tracking algorithms

被引：0
|
作者：
Jian F.-S. [1 ,2 ,3 ]
Xu Y.-M. [2 ]
Yin Z.-J. [1 ]
机构：
[1] University of Science and Technology of China
[2] Center for Space Science and Applied Research, CAS
[3] Unit 92323 of PLA
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2010年 / 32卷 / 06期
关键词：
Maneuvering target tracking; Multiple model; Number of particles; Particle filter;
D O I：
10.3724/SP.J.1146.2009.00853
中图分类号：
学科分类号：
摘要：
An Enhanced Multiple Model Particle Filter(EMMPF) algorithm is presented for maneuvering target tracking. Rather than allocating the particles to the various modes according to mode probabilities as the MMPF, the new algorithm proposes an approach which enables the user to control the number of particles in a certain mode flexibly without interaction between particles of different mode. The estimations of mode and state are calculated respectively, and the posterior probability of each model is updated with the model likelihood function. It is demonstrated that the new algorithm can achieve better performance with less particles, compared with MMPF.
引用
收藏
页码：1271 / 1276
页数：5
相关论文
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