Improved particle filter for nonlinear system state

J. Liang; X. Y. Peng

doi:10.1049/el:20082403

Improved particle filter for nonlinear system state

J. Liang^*
, X. Y. Peng

^*Corresponding author for this work

School of Electronics and Information Engineering

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

A particle filter based on the similarity of the observation path is presented. When the likelihood has a bimodal nature, the particle filter leads to more accurate state estimates than SIR, APF, RPF and GPF.

Original language	English
Pages (from-to)	1275-1277
Number of pages	3
Journal	Electronics Letters
Volume	44
Issue number	21
DOIs	https://doi.org/10.1049/el:20082403
State	Published - 2008

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title = "Improved particle filter for nonlinear system state",

abstract = "A particle filter based on the similarity of the observation path is presented. When the likelihood has a bimodal nature, the particle filter leads to more accurate state estimates than SIR, APF, RPF and GPF.",

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SN - 0013-5194

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Improved particle filter for nonlinear system state

Abstract

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