Particle Filer Algorithm Based on Mutil-scale Resampling
ZHANG Yan
Abstract：The introduction of resampling into particle filtering to eliminate particle deficiency weakens the diversity of particles and leads to particle dilution. To reconcile the conflict between particle diversity and sample dilution,a multi-scale-resampling-based particle filtering algorithm is proposed. The particle spatial resampling is divided into multiple scales,and particle weights are redefined for each scale before resampling,using scale entropy as a guide to measure the diversity of resampled particles. The simulation experiment shows that multi-scale-resampling- based particle filtering algorithm significantly increases the precision and is practical for high-precision systematic filtering computation,and it can be applied to the data assimilation of precision fruit.
Keywords：particle filteringparticle diversityresamplingmulti-scaleentropy
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 11-13,30 )