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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3550-3555
Number of pages	6
ISBN (Electronic)	9781509046560
DOIs	https://doi.org/10.1109/CCDC.2017.7979121
State	Published - 12 Jul 2017
Event	29th Chinese Control and Decision Conference, CCDC 2017 - Chongqing, China Duration: 28 May 2017 → 30 May 2017

Publication series

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

Conference

Conference	29th Chinese Control and Decision Conference, CCDC 2017
Country/Territory	China
City	Chongqing
Period	28/05/17 → 30/05/17

Keywords

Adaptive Distributed Estimation
Consensus
Cubature Kalman Filtering
Mobile Sensor Network

Access to Document

10.1109/CCDC.2017.7979121

Cite this

Qingke, T., Xiwang, D., Qingdong, L., & Zhang, R. (2017). Adaptive distributed estimation for mobile sensor networks based on cubature Kalman filtering. In Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017 (pp. 3550-3555). Article 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 et al. / 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. pp. 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. in 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., pp. 3550-3555, 29th Chinese Control and Decision Conference, CCDC 2017, Chongqing, China, 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 et al.
Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3550-3555 7979121 (Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. In Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 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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