DocumentCode
3216887
Title
Survey of sampling nonlinear filter
Author
Yang Feng ; Pan Quan ; Liang Yan ; Cheng Yongmei ; Liu Wei
Author_Institution
Coll. of Autom., Northwestern Polytech. Univ., Xi´an, China
fYear
2006
fDate
7-11 Aug. 2006
Firstpage
535
Lastpage
540
Abstract
A systemic overview of sampling nonlinear filter is presented. By careful analysis of sampling approach, the sampling nonlinear filter is grouped into two broad classes: deterministic sampling nonlinear filter and random sampling nonlinear filter. Then the general scheme of each group is presented. Under the general scheme of deterministic sampling nonlinear filter, unscented Kalman filter and Gaussian sun filter is described; under the general scheme of random sampling nonlinear filter, particle filter and its different variation is described. Furthermore, the application and development of sampling nonlinear filter are reviewed. The possible future directions of the sampling nonlinear filter are finally discussed.
Keywords
Gaussian processes; Kalman filters; nonlinear filters; signal sampling; Gaussian sun filter; deterministic sampling nonlinear filter; particle filter; random sampling nonlinear filter; unscented Kalman filter; Artificial intelligence; Automation; Control systems; Educational institutions; Electronic mail; Nonlinear control systems; Nonlinear filters; Particle filters; Sampling methods; Sun; deterministic sampling; estimation; nonlinear filter; random sampling; sampling;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2006. CCC 2006. Chinese
Conference_Location
Harbin
Print_ISBN
7-81077-802-1
Type
conf
DOI
10.1109/CHICC.2006.280629
Filename
4060575
Link To Document