Survey of a kind of nonlinear filters-UKF

Quan Pan; Feng Yang; Liang Ye; Yan Liang; Yong Mei Cheng

Survey of a kind of nonlinear filters-UKF

Quan Pan, Feng Yang, Liang Ye, Yan Liang, Yong Mei Cheng

School of Automation

Northwestern Polytechnical University Xian

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

135 Scopus citations

Abstract

The advances of unscented Kalman filter (UKF) are firstly reviewed. The combination of the Kalman linear filtering with the unscented transformation (UT) is discussed in general sense. UKF and its typical sampling strategies are given and analyzed. Finally, the possible future directions of the UKF are also discussed.

Original language	English
Pages (from-to)	481-489+494
Journal	Kongzhi yu Juece/Control and Decision
Volume	20
Issue number	5
State	Published - May 2005

Keywords

Nonlinear filtering
Sampling strategy
Unscented Kalman filter
Unscented transformation

Cite this

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title = "Survey of a kind of nonlinear filters-UKF",

abstract = "The advances of unscented Kalman filter (UKF) are firstly reviewed. The combination of the Kalman linear filtering with the unscented transformation (UT) is discussed in general sense. UKF and its typical sampling strategies are given and analyzed. Finally, the possible future directions of the UKF are also discussed.",

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author = "Quan Pan and Feng Yang and Liang Ye and Yan Liang and Cheng, {Yong Mei}",

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AU - Ye, Liang

AU - Liang, Yan

AU - Cheng, Yong Mei

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N2 - The advances of unscented Kalman filter (UKF) are firstly reviewed. The combination of the Kalman linear filtering with the unscented transformation (UT) is discussed in general sense. UKF and its typical sampling strategies are given and analyzed. Finally, the possible future directions of the UKF are also discussed.

AB - The advances of unscented Kalman filter (UKF) are firstly reviewed. The combination of the Kalman linear filtering with the unscented transformation (UT) is discussed in general sense. UKF and its typical sampling strategies are given and analyzed. Finally, the possible future directions of the UKF are also discussed.

KW - Nonlinear filtering

KW - Sampling strategy

KW - Unscented Kalman filter

KW - Unscented transformation

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M3 - 文章

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JO - Kongzhi yu Juece/Control and Decision

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Survey of a kind of nonlinear filters-UKF

Abstract

Keywords

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