UDUT continuous-discrete unscented kalman filtering

Lv Shaolin; Chen Jiabin; Liu Zhide

doi:10.1109/IITA.2008.571

UDU^T continuous-discrete unscented kalman filtering

Lv Shaolin^*, Chen Jiabin, Liu Zhide

^*此作品的通讯作者

自动化学院

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

In this paper the UDUT continuous-discrete Unscented Kalman filter (UKF) for state estimation of continuoustime nonlinear systems is proposed. UDUT scalar update is introduced into the measurement update procedure of continuous-discrete UKF (CDUKF). It is pointed out that this form is sometimes more efficient than the standard CDUKF. Computational complexity of the two forms of CDUKF is analyzed. Reentry vehicle tracking problem is used to demonstrate that the UDUT CDUKF is sometimes faster than the standard form.

源语言	英语
主期刊名	Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
页	876-879
页数	4
DOI	https://doi.org/10.1109/IITA.2008.571
出版状态	已出版 - 2008
活动	2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 - Shanghai, 中国期限: 21 12月 2008 → 22 12月 2008

出版系列

姓名	Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
卷	2

会议

会议	2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
国家/地区	中国
市	Shanghai
时期	21/12/08 → 22/12/08

访问文件

10.1109/IITA.2008.571

其它文件与链接

链接到 Scopus 的出版物

引用此

Shaolin, L., Jiabin, C., & Zhide, L. (2008). UDU^T continuous-discrete unscented kalman filtering. 在 Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 (页码 876-879). 文章 4739889 (Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008; 卷 2). https://doi.org/10.1109/IITA.2008.571

@inproceedings{461b63c51a12493496a8912a0ea59d70,

title = "UDUT continuous-discrete unscented kalman filtering",

abstract = "In this paper the UDUT continuous-discrete Unscented Kalman filter (UKF) for state estimation of continuoustime nonlinear systems is proposed. UDUT scalar update is introduced into the measurement update procedure of continuous-discrete UKF (CDUKF). It is pointed out that this form is sometimes more efficient than the standard CDUKF. Computational complexity of the two forms of CDUKF is analyzed. Reentry vehicle tracking problem is used to demonstrate that the UDUT CDUKF is sometimes faster than the standard form.",

author = "Lv Shaolin and Chen Jiabin and Liu Zhide",

year = "2008",

doi = "10.1109/IITA.2008.571",

language = "English",

isbn = "9780769534978",

series = "Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008",

pages = "876--879",

booktitle = "Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008",

note = "2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008 ; Conference date: 21-12-2008 Through 22-12-2008",

}

Shaolin, L, Jiabin, C & Zhide, L 2008, UDU^T continuous-discrete unscented kalman filtering. 在 Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008., 4739889, Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, 卷 2, 页码 876-879, 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, Shanghai, 中国, 21/12/08. https://doi.org/10.1109/IITA.2008.571

UDU^T continuous-discrete unscented kalman filtering. / Shaolin, Lv; Jiabin, Chen; Zhide, Liu.
Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008. 2008. 页码 876-879 4739889 (Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008; 卷 2).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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AU - Jiabin, Chen

AU - Zhide, Liu

PY - 2008

Y1 - 2008

N2 - In this paper the UDUT continuous-discrete Unscented Kalman filter (UKF) for state estimation of continuoustime nonlinear systems is proposed. UDUT scalar update is introduced into the measurement update procedure of continuous-discrete UKF (CDUKF). It is pointed out that this form is sometimes more efficient than the standard CDUKF. Computational complexity of the two forms of CDUKF is analyzed. Reentry vehicle tracking problem is used to demonstrate that the UDUT CDUKF is sometimes faster than the standard form.

AB - In this paper the UDUT continuous-discrete Unscented Kalman filter (UKF) for state estimation of continuoustime nonlinear systems is proposed. UDUT scalar update is introduced into the measurement update procedure of continuous-discrete UKF (CDUKF). It is pointed out that this form is sometimes more efficient than the standard CDUKF. Computational complexity of the two forms of CDUKF is analyzed. Reentry vehicle tracking problem is used to demonstrate that the UDUT CDUKF is sometimes faster than the standard form.

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U2 - 10.1109/IITA.2008.571

DO - 10.1109/IITA.2008.571

M3 - Conference contribution

AN - SCOPUS:62949187672

SN - 9780769534978

T3 - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008

SP - 876

EP - 879

BT - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008

T2 - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008

Y2 - 21 December 2008 through 22 December 2008

ER -

UDUT continuous-discrete unscented kalman filtering

摘要

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UDU^T continuous-discrete unscented kalman filtering