Title :
Particle estimation algorithm using correlation of observation for nonlinear system state
Author :
Liang, J. ; Peng, X.-Y. ; Ma, Y.-T.
Author_Institution :
Harbin Inst. of Technol., Harbin
Abstract :
A particle estimation algorithm, where the weight of the particle is proportional to the correlation coefficient of observations, is presented. When the likelihood has a bimodal nature, this algorithm leads to more accurate state estimates than SIR, APF, RPF, and GPF.
Keywords :
nonlinear systems; state estimation; nonlinear system; observation correlation coefficient; particle estimation algorithm;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20080179
