Diffusion distributed Kalman filter over sensor networks without exchanging raw measurements
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- 作者：Guoqing Wang wangguoqing2014@hrbeu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Ning Li ; ningli@hrbeu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Yonggang Zhang zhangyg@hrbeu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Distributed Kalman filter (DKF) ; Diffusion strategy ; Covariance intersection (CI) ; Sensor networks ; Estimation exchange
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：132
- 期：Complete
- 页码：1-7
- 全文大小：824 K
文摘
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Proposed two algorithms avoid using raw measurements
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The first one yields better estimation accuracy than existing similar solutions.
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The second one further releases communication burden by fusing at a selected rate.
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Both algorithms are unbiased and uniform stable under some assumptions.
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Target tracking examples demonstrate the effectiveness of proposed algorithms.