Research on Diversity Measure in Particle Filter

Author

Yu, Jinxia ; Tang, Yongli ; Liu, Wenjing

Author_Institution

Coll. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China

Volume

2

fYear

2010

fDate

11-12 May 2010

Firstpage

1146

Lastpage

1149

Abstract

It is very important to find diversity measure when to perform a resampling step in particle filter. By analyzing the inherent deficiency in resampling algorithm of particle filter, some diversity measures including effective sample size, population diversity factor and particle swarm diversity measure are introduced. Then combined with the simulation program using matlab 7.0 to track a single target motion from a fixed visual observation points, the performance of diversity measures in resampling algorithm of PF are evaluated.

Keywords

mathematics computing; particle filtering (numerical methods); particle swarm optimisation; sampling methods; target tracking; Matlab; fixed visual observation points; particle filter; particle swarm diversity measure; resampling algorithm; target motion tracking; Equations; Loss measurement; Monte Carlo methods; Noise measurement; Particle filters; Particle measurements; Particle swarm optimization; Size measurement; Target tracking; Time measurement; diversity measure; effective sample size; particle filter; particle swarm diversity measure; population diversity factor; resampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.97

Filename

5523077