Composite Weighted Average Consensus Filtering

Hao Chen, Jianan Wang, Zhang Jun, Chunyan Wang, Jiayuan Shan

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, a composite weighted average consensus filtering algorithm (CWACF) is proposed by applying multiple heterogeneous nonlinear filters. In light of the sensors' different sensing accuracy and computational capability, extended Kalman filter (EKF) and sparse-grid quadrature filter (SGQF) are compositely adopted on different sensors as local filters. Then, estimation from neighbours are fused based on the weighted average consensus framework to attain better estimation performance. Moreover, it has been proved that the estimation error is exponentially bounded in mean square. The performance of the proposed algorithm and distributed extended Kalman filtering (DEKF) are compared by a target localization case through a sensor network.

源语言英语
主期刊名2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781538611715
DOI
出版状态已出版 - 8月 2018
活动2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018 - Xiamen, 中国
期限: 10 8月 201812 8月 2018

出版系列

姓名2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018

会议

会议2018 IEEE CSAA Guidance, Navigation and Control Conference, CGNCC 2018
国家/地区中国
Xiamen
时期10/08/1812/08/18

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