%0 Journal Article
%T Research of Particle Filter Based on Immune Particle Swarm Optimization
%A Long-Hua Ma
%A Yu Zhang
%A Zhe-Ming Lu
%A Hui Li
%J Information Technology Journal
%D 2013
%I Asian Network for Scientific Information
%X Particle degradation, as a main limitation of particle filter, can be resolved by making use of common re-sampling method, but it always bring about the problem of sample dilution. The Immune Particle Swarm Optimization (IMPSO) was introduced into particle filter and a new kind of particle filter named IMPSO-based particle filter was proposed. In the IMPSO-based particle filter algorithm, particles are driven to the area with a higher posterior probability density and maintain big particle diversity at the same time. Simulation results show that IMPSO-based particle filter can eliminates the degeneracy phenomenon, avoid the sample dilution problem and guarantee the effectiveness.
%K immune particle swarm optimization
%K particle degradation
%K Particle filter
%K sample dilution
%U http://docsdrive.com/pdfs/ansinet/itj/2013/155-161.pdf