Title :
Particle filter for nonlinear systems with multiple step randomly delayed measurements
Author :
Yulong Huang ; Yonggang Zhang ; Ning Li ; Lin Zhao
Author_Institution :
Dept. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
A new particle filter for nonlinear systems with multiple step randomly delayed measurements is proposed. In the proposed method, particles and their weights are updated in the Bayesian estimation framework by considering the multiple step randomly delayed measurement model. Simulation results show that the proposed method has higher estimation accuracy than existing methods.
Keywords :
Bayes methods; nonlinear estimation; nonlinear systems; particle filtering (numerical methods); Bayesian estimation framework; Particle filter; multiple step randomly delayed measurement; nonlinear systems;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2015.1899
