Multisensor data synthesis using federated form of unscented Kalman filtering

Jamshaid Ali; Jiancheng Fang

doi:10.1109/ICIT.2005.1600694

Multisensor data synthesis using federated form of unscented Kalman filtering

Jamshaid Ali^*
, Jiancheng Fang

^*此作品的通讯作者

仪器科学与光电工程学院

Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

13 引用（Scopus）

摘要

In this paper, a decentralized unscented Kalman Filter (UKF) in federated configuration is developed for multisensor navigation data fusion. The UKF is a nonlinear, distribution approximation method that uses a finite number of points to propagate the state's probability distribution through the system's nonlinear dynamics. In multisensor data fusion application, the configuration features of the federated unscented Kalman filter (FUKF) are investigated. To elaborate the concept of this filter structure, a case study of the strapdown inertial navigation system (SINS) integrated with astronavigation system (ANS) and global positioning system (GPS) is presented. Simulation results demonstrate the validity of the proposed filter configuration.

源语言	英语
主期刊名	2005 IEEE International Conference on Industrial Technology, ICIT 2005
页	524-529
页数	6
DOI	https://doi.org/10.1109/ICIT.2005.1600694
出版状态	已出版 - 2005
活动	2005 IEEE International Conference on Industrial Technology, ICIT 2005 - Hong Kong, 香港特别行政区期限: 14 12月 2005 → 17 12月 2005

出版系列

姓名	Proceedings of the IEEE International Conference on Industrial Technology
卷	2005

会议

会议	2005 IEEE International Conference on Industrial Technology, ICIT 2005
国家/地区	香港特别行政区
市	Hong Kong
时期	14/12/05 → 17/12/05

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10.1109/ICIT.2005.1600694

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引用此

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title = "Multisensor data synthesis using federated form of unscented Kalman filtering",

abstract = "In this paper, a decentralized unscented Kalman Filter (UKF) in federated configuration is developed for multisensor navigation data fusion. The UKF is a nonlinear, distribution approximation method that uses a finite number of points to propagate the state's probability distribution through the system's nonlinear dynamics. In multisensor data fusion application, the configuration features of the federated unscented Kalman filter (FUKF) are investigated. To elaborate the concept of this filter structure, a case study of the strapdown inertial navigation system (SINS) integrated with astronavigation system (ANS) and global positioning system (GPS) is presented. Simulation results demonstrate the validity of the proposed filter configuration.",

author = "Jamshaid Ali and Jiancheng Fang",

year = "2005",

doi = "10.1109/ICIT.2005.1600694",

language = "英语",

isbn = "0780394844",

series = "Proceedings of the IEEE International Conference on Industrial Technology",

pages = "524--529",

booktitle = "2005 IEEE International Conference on Industrial Technology, ICIT 2005",

note = "2005 IEEE International Conference on Industrial Technology, ICIT 2005 ; Conference date: 14-12-2005 Through 17-12-2005",

}

Ali, J & Fang, J 2005, Multisensor data synthesis using federated form of unscented Kalman filtering. 在 2005 IEEE International Conference on Industrial Technology, ICIT 2005., 1600694, Proceedings of the IEEE International Conference on Industrial Technology, 卷 2005, 页码 524-529, 2005 IEEE International Conference on Industrial Technology, ICIT 2005, Hong Kong, 香港特别行政区, 14/12/05. https://doi.org/10.1109/ICIT.2005.1600694

Multisensor data synthesis using federated form of unscented Kalman filtering. / Ali, Jamshaid; Fang, Jiancheng.
2005 IEEE International Conference on Industrial Technology, ICIT 2005. 2005. 页码 524-529 1600694 (Proceedings of the IEEE International Conference on Industrial Technology; 卷 2005).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

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AU - Ali, Jamshaid

AU - Fang, Jiancheng

PY - 2005

Y1 - 2005

N2 - In this paper, a decentralized unscented Kalman Filter (UKF) in federated configuration is developed for multisensor navigation data fusion. The UKF is a nonlinear, distribution approximation method that uses a finite number of points to propagate the state's probability distribution through the system's nonlinear dynamics. In multisensor data fusion application, the configuration features of the federated unscented Kalman filter (FUKF) are investigated. To elaborate the concept of this filter structure, a case study of the strapdown inertial navigation system (SINS) integrated with astronavigation system (ANS) and global positioning system (GPS) is presented. Simulation results demonstrate the validity of the proposed filter configuration.

AB - In this paper, a decentralized unscented Kalman Filter (UKF) in federated configuration is developed for multisensor navigation data fusion. The UKF is a nonlinear, distribution approximation method that uses a finite number of points to propagate the state's probability distribution through the system's nonlinear dynamics. In multisensor data fusion application, the configuration features of the federated unscented Kalman filter (FUKF) are investigated. To elaborate the concept of this filter structure, a case study of the strapdown inertial navigation system (SINS) integrated with astronavigation system (ANS) and global positioning system (GPS) is presented. Simulation results demonstrate the validity of the proposed filter configuration.

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U2 - 10.1109/ICIT.2005.1600694

DO - 10.1109/ICIT.2005.1600694

M3 - 会议稿件

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SN - 0780394844

SN - 9780780394841

T3 - Proceedings of the IEEE International Conference on Industrial Technology

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BT - 2005 IEEE International Conference on Industrial Technology, ICIT 2005

T2 - 2005 IEEE International Conference on Industrial Technology, ICIT 2005

Y2 - 14 December 2005 through 17 December 2005

ER -

Multisensor data synthesis using federated form of unscented Kalman filtering

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