Title :
Filter algorithm of Bayesian state estimation using FFT
Author :
Feng, Sun ; Shufu, Wang ; Yaoqun, Xu ; Yanling, Hao
Author_Institution :
Autom. Coll., Harbin Eng. Univ., China
Abstract :
In the paper, a filter algorithm of Bayesian state estimation using fast Fourier transforms (FFTs)is proposed. The computation is reduced by using FFTs. The simulation result shows that the algorithm is a very robust nonlinear filter algorithm
Keywords :
Bayes methods; fast Fourier transforms; filtering theory; nonlinear filters; nonlinear systems; state estimation; stochastic systems; Bayesian state estimation; FFT; very robust nonlinear filter algorithm; Bayesian methods; Computational modeling; Educational institutions; Nonlinear filters; Robustness; State estimation; Sun;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863005
