Comparison and analysis of deterministic sampling filters for state estimation

Wei Liu; Feng Yang; Hong Cai Zhang; Quan Pan; Yan Liang

Comparison and analysis of deterministic sampling filters for state estimation

Wei Liu
, Feng Yang
, Hong Cai Zhang
, Quan Pan
, Yan Liang

自动化学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

Sampling-based filtering approaches are widely used for the on-line estimation problem of non-Gaussian nonlinear systems. They commonly take advantages of matching the prior density of system state by certain sampling strategies. Theoretical analysis and experimental results on several popular deterministic sampling filters were proposed to show performance on coping with non-gauss nonlinear filtering problems; moreover, guidelines and suggestions were given for practical appliance requisitions.

源语言	英语
页（从-至）	4265-4269
页数	5
期刊	Xitong Fangzhen Xuebao / Journal of System Simulation
卷	19
期	18
出版状态	已出版 - 20 9月 2007

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引用此

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abstract = "Sampling-based filtering approaches are widely used for the on-line estimation problem of non-Gaussian nonlinear systems. They commonly take advantages of matching the prior density of system state by certain sampling strategies. Theoretical analysis and experimental results on several popular deterministic sampling filters were proposed to show performance on coping with non-gauss nonlinear filtering problems; moreover, guidelines and suggestions were given for practical appliance requisitions.",

keywords = "Central Difference Filter, Deterministic sampling, Divided Difference Filter, Estimation, Gaussian-Hermite Filter, Nonlinear filter, Unscented Kalman Filter",

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KW - Central Difference Filter

KW - Deterministic sampling

KW - Divided Difference Filter

KW - Estimation

KW - Gaussian-Hermite Filter

KW - Nonlinear filter

KW - Unscented Kalman Filter

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Comparison and analysis of deterministic sampling filters for state estimation

摘要

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