Particle estimation algorithm using correlation of observation for nonlinear system state

J. Liang; X. Y. Peng; Y. T. Ma

doi:10.1049/el:20080179

Particle estimation algorithm using correlation of observation for nonlinear system state

J. Liang^*
, X. Y. Peng
, Y. T. Ma

^*Corresponding author for this work

Harbin Institute of Technology

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

10 Citations (Scopus)

Abstract

A particle estimation algorithm, where the weight of the particle is proportional to the correlation coefficient of observations, is presented. When the likelihood has a bimodal nature, this algorithm leads to more accurate state estimates than SIR, APF, RPF, and GPF.

Original language	English
Pages (from-to)	553-555
Number of pages	3
Journal	Electronics Letters
Volume	44
Issue number	8
DOIs	https://doi.org/10.1049/el:20080179
Publication status	Published - 2008
Externally published	Yes

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abstract = "A particle estimation algorithm, where the weight of the particle is proportional to the correlation coefficient of observations, is presented. When the likelihood has a bimodal nature, this algorithm leads to more accurate state estimates than SIR, APF, RPF, and GPF.",

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journal = "Electronics Letters",

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SN - 0013-5194

VL - 44

SP - 553

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JO - Electronics Letters

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Particle estimation algorithm using correlation of observation for nonlinear system state

Abstract

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