中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Analysis of compressed distributed adaptive filters

文献类型:期刊论文

作者Xie, Siyu2; Guo, Lei1
刊名AUTOMATICA
出版日期2020-02-01
卷号112页码:10
关键词Sparse signal Compressive sensing Distributed adaptive filters Consensus strategies Compressed information condition Stochastic stability
ISSN号0005-1098
DOI10.1016/j.automatica.2019.108707
英文摘要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.
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
语种英语
WOS记录号WOS:000509617800012
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/50816]  
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.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
2.Wayne State Univ, Dept Elect & Comp Engn, Detroit, MI 48202 USA
推荐引用方式
GB/T 7714
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.

入库方式: OAI收割

来源:数学与系统科学研究院

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