Adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering

Tan Qingke; Dong Xiwang; Li Qingdong; Ren Zhang

doi:10.1109/CCDC.2017.7979121

Adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering

Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

4 引用（Scopus）

摘要

To deal with the nonlinearity in the target tracking and distributed estimation in mobile sensor networks, an algorithm of adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering is proposed by combining the advantages of the cubature Kalman filtering and consensus algorithm. The weight matrix in the consensus iteration changes dynamically according to the error between the node and its neighbors to improve the convergence rate of consensus iteration. Besides, the estimation error of the algorithm is proved to be bounded in mean square. A simulation example of mobile sensors in the sky tracking target on the ground is given to validate the effectiveness of the proposed adaptive distributed estimation.

源语言	英语
主期刊名	Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
出版商	Institute of Electrical and Electronics Engineers Inc.
页	3550-3555
页数	6
ISBN（电子版）	9781509046560
DOI	https://doi.org/10.1109/CCDC.2017.7979121
出版状态	已出版 - 12 7月 2017
活动	29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, 中国期限: 28 5月 2017 → 30 5月 2017

丛书

姓名	Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

会议

会议	29th Chinese Control and Decision Conference, CCDC 2017
国家/地区	中国
市	Chongqing
时期	28/05/17 → 30/05/17

访问文件

10.1109/CCDC.2017.7979121

其它文件与链接

链接到 Scopus 的出版物

引用此

Qingke, T., Xiwang, D., Qingdong, L., & Zhang, R. (2017). Adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering. 在 Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017 (页码 3550-3555). 期刊论文 7979121 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2017.7979121

Qingke, Tan ; Xiwang, Dong ; Qingdong, Li 等. / Adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering. Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 3550-3555 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017).

@inproceedings{c601f244de0c4949b79f1bf80b94cb43,

title = "Adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering",

abstract = "To deal with the nonlinearity in the target tracking and distributed estimation in mobile sensor networks, an algorithm of adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering is proposed by combining the advantages of the cubature Kalman filtering and consensus algorithm. The weight matrix in the consensus iteration changes dynamically according to the error between the node and its neighbors to improve the convergence rate of consensus iteration. Besides, the estimation error of the algorithm is proved to be bounded in mean square. A simulation example of mobile sensors in the sky tracking target on the ground is given to validate the effectiveness of the proposed adaptive distributed estimation.",

keywords = "Adaptive Distributed Estimation, Consensus, Cubature Kalman Filtering, Mobile Sensor Network",

author = "Tan Qingke and Dong Xiwang and Li Qingdong and Ren Zhang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 29th Chinese Control and Decision Conference, CCDC 2017 ; Conference date: 28-05-2017 Through 30-05-2017",

year = "2017",

month = jul,

day = "12",

doi = "10.1109/CCDC.2017.7979121",

language = "英语",

series = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3550--3555",

booktitle = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",

address = "美国",

}

Qingke, T, Xiwang, D , Qingdong, L & Zhang, R 2017, Adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering. 在 Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017., 7979121, Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017, Institute of Electrical and Electronics Engineers Inc., 页码 3550-3555, 29th Chinese Control and Decision Conference, CCDC 2017, Chongqing, 中国, 28/05/17. https://doi.org/10.1109/CCDC.2017.7979121

Adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering. / Qingke, Tan; Xiwang, Dong ; Qingdong, Li 等.
Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 页码 3550-3555 7979121 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering

AU - Qingke, Tan

AU - Xiwang, Dong

AU - Qingdong, Li

AU - Zhang, Ren

PY - 2017/7/12

Y1 - 2017/7/12

N2 - To deal with the nonlinearity in the target tracking and distributed estimation in mobile sensor networks, an algorithm of adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering is proposed by combining the advantages of the cubature Kalman filtering and consensus algorithm. The weight matrix in the consensus iteration changes dynamically according to the error between the node and its neighbors to improve the convergence rate of consensus iteration. Besides, the estimation error of the algorithm is proved to be bounded in mean square. A simulation example of mobile sensors in the sky tracking target on the ground is given to validate the effectiveness of the proposed adaptive distributed estimation.

AB - To deal with the nonlinearity in the target tracking and distributed estimation in mobile sensor networks, an algorithm of adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering is proposed by combining the advantages of the cubature Kalman filtering and consensus algorithm. The weight matrix in the consensus iteration changes dynamically according to the error between the node and its neighbors to improve the convergence rate of consensus iteration. Besides, the estimation error of the algorithm is proved to be bounded in mean square. A simulation example of mobile sensors in the sky tracking target on the ground is given to validate the effectiveness of the proposed adaptive distributed estimation.

KW - Adaptive Distributed Estimation

KW - Consensus

KW - Cubature Kalman Filtering

KW - Mobile Sensor Network

UR - https://www.scopus.com/pages/publications/85028072557

U2 - 10.1109/CCDC.2017.7979121

DO - 10.1109/CCDC.2017.7979121

M3 - 会议稿件

AN - SCOPUS:85028072557

T3 - Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

SP - 3550

EP - 3555

BT - Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 29th Chinese Control and Decision Conference, CCDC 2017

Y2 - 28 May 2017 through 30 May 2017

ER -

Qingke T, Xiwang D , Qingdong L , Zhang R. Adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering. 在 Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 页码 3550-3555. 7979121. (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017). doi: 10.1109/CCDC.2017.7979121

Adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering

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