CSpace
Analysis of compressed distributed adaptive filters
Xie, Siyu1; Guo, Lei2
2020-02-01
发表期刊AUTOMATICA
ISSN0005-1098
卷号112页码:10
摘要In order to estimate an unknown high-dimensional sparse signal in the network, we present a class of compressed distributed adaptive filtering algorithms based on consensus strategies and compressive sensing (CS) method. This class of algorithms is designed to first use the compressed regressor data to obtain an estimate for the compressed unknown signal, then apply some signal reconstruction algorithms to obtain a high-dimensional estimate for the original unknown signal. Here we consider the compressed consensus normalized least mean squares (NLMS) algorithm, and show that even if the traditional non-compressed distributed algorithm cannot fulfill the estimation or tracking task due to the sparsity of the regressors, the compressed algorithm introduced in this paper can be used to estimate the unknown high-dimensional sparse signal under a compressed information condition, which is much weaker than the cooperative information condition used in the existing literature, without such stringent conditions as independence and stationarity for the system signals. (C) 2019 Elsevier Ltd. All rights reserved.
关键词Sparse signal Compressive sensing Distributed adaptive filters Consensus strategies Compressed information condition Stochastic stability
DOI10.1016/j.automatica.2019.108707
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[11688101] ; National Natural Science Foundation of China[61227902]
WOS研究方向Automation & Control Systems ; Engineering
WOS类目Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000509617800012
出版者PERGAMON-ELSEVIER SCIENCE LTD
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/50817
专题中国科学院数学与系统科学研究院
通讯作者Guo, Lei
作者单位1.Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA
2.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
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Xie, Siyu,Guo, Lei. Analysis of compressed distributed adaptive filters[J]. AUTOMATICA,2020,112:10.
APA Xie, Siyu,&Guo, Lei.(2020).Analysis of compressed distributed adaptive filters.AUTOMATICA,112,10.
MLA Xie, Siyu,et al."Analysis of compressed distributed adaptive filters".AUTOMATICA 112(2020):10.
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