Particle estimation algorithm using correlation of observation for nonlinear system state
Jun Liang, Xiyuan Peng, Yunxi Ma · Electronics Letters · 2008
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.