KMS Of Academy of mathematics and systems sciences, CAS
| Analysis of compressed distributed adaptive filters | |
| Xie, Siyu1; Guo, Lei2 | |
| 2020-02-01 | |
| Source Publication | AUTOMATICA
 |
| ISSN | 0005-1098 |
| Volume | 112Pages:10 |
| Abstract | 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. |
| Keyword | Sparse signal Compressive sensing Distributed adaptive filters Consensus strategies Compressed information condition Stochastic stability |
| DOI | 10.1016/j.automatica.2019.108707 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[11688101] ; National Natural Science Foundation of China[61227902] |
| WOS Research Area | Automation & Control Systems ; Engineering |
| WOS Subject | Automation & Control Systems ; Engineering, Electrical & Electronic |
| WOS ID | WOS:000509617800012 |
| Publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/50817 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Guo, Lei |
| Affiliation | 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 |
| Recommended Citation 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. |
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