Doǧrusal olmayan sistemlerdeki algilama belirsizliǧinin parçacik süzgeçler ile azaltilmasi

Translated title of the contribution: Reduction of sensory inaccuracy in nonlinear systems using particle filters

Halûk Bayram, Ayşin Ertüzün, H. Işil Bozma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In signal processing and control applications, on-line state estimation plays important role in stability of the system. In cases where state and/or measurement functions are highly nonlinear and/or the noise is not Gaussian, conventional filters such as extended Kalman filters do not provide satisfactory results. In this paper, particle filters and its application to a nonlinear problem are examined.

Translated title of the contributionReduction of sensory inaccuracy in nonlinear systems using particle filters
Original languageTurkish
Title of host publication2006 IEEE 14th Signal Processing and Communications Applications Conference
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE 14th Signal Processing and Communications Applications - Antalya, Turkey
Duration: Apr 17 2006Apr 19 2006

Publication series

Name2006 IEEE 14th Signal Processing and Communications Applications Conference
Volume2006

Conference

Conference
CountryTurkey
CityAntalya
Period4/17/064/19/06

Fingerprint Dive into the research topics of 'Reduction of sensory inaccuracy in nonlinear systems using particle filters'. Together they form a unique fingerprint.

Cite this