Presentation	2007-10-19 Genetic Algorithm Based Noise Estimation of Particle Filter SHOZO TOKINAGA, KANGRONG TAN,
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Abstract(in English)	Recently particle filter has been applied to many engineering fields, such as aviation administration, vehicle tracing, etc. The characteristics is that particle filter can be utilized to cope with systems which are not statisfied with Gaussian conditions. In this report, we propose to use Genetic Algorithm to estimate the noise distribution when the noise type is unknown. Especially we focus on the case that the noise distribution can be approximated by mixture distribution.
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Keyword(in English)	particle filter / noise / genetic algorithm / mixture distribution
Paper #	CAS2007-57,NLP2007-85
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Committee	CAS
Conference Date	2007/10/12(1days)
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Registration To	Circuits and Systems (CAS)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	Genetic Algorithm Based Noise Estimation of Particle Filter
Sub Title (in English)
Keyword(1)	particle filter
Keyword(2)	noise
Keyword(3)	genetic algorithm
Keyword(4)	mixture distribution
1st Author's Name	SHOZO TOKINAGA
1st Author's Affiliation	Faculty of Economics, Kyushu University()
2nd Author's Name	KANGRONG TAN
2nd Author's Affiliation	Faculty of Economics, Kurume University
Date	2007-10-19
Paper #	CAS2007-57,NLP2007-85
Volume (vol)	vol.107
Number (no)	265
Page	pp.pp.-
#Pages	3
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