Title :
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
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;
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
DOI :
10.1109/ICICTA.2010.97
