Title :
Improved particle filter for nonlinear system state
Author :
Liang, Justin ; Peng, X.-Y.
Author_Institution :
Dept. of Instrum. Sci. & Technol., Harbin Inst. of Technol., Harbin
Abstract :
A particle filter based on the similarity of the observation path is presented. When the likelihood has a bimodal nature, the particle filter leads to more accurate state estimates than SIR, APF, RPF and GPF.
Keywords :
nonlinear estimation; nonlinear filters; nonlinear systems; particle filtering (numerical methods); bimodal nature; nonlinear system state estimation; particle filter;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20082403
