On optimization of the measurement matrix for distributed compressed estimation

Lizhong Bai, Lijuan Jia*, Yifei Liu, Cheng Ma, Zijiang Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes an efficient universal scheme based on the combination of compressed sensing and distributed cooperative estimation. This scheme is designed according to the application background of actual distributed estimation. An optimized measurement matrix is also presented, which can further improve the performance of the proposed actual distributed compressed estimation scheme. Simulations for a distributed sensor network based on the adapt-then-combine diffusion NLMS algorithm illustrate that the obtained measurement matrix effectively helps the proposed scheme achieving a better mean-squaredeviation performance and significantly improves convergence rate compared with other existing algorithms.

Original languageEnglish
Title of host publicationProceedings of the 38th Chinese Control Conference, CCC 2019
EditorsMinyue Fu, Jian Sun
PublisherIEEE Computer Society
Pages3681-3685
Number of pages5
ISBN (Electronic)9789881563972
DOIs
Publication statusPublished - Jul 2019
Event38th Chinese Control Conference, CCC 2019 - Guangzhou, China
Duration: 27 Jul 201930 Jul 2019

Publication series

NameChinese Control Conference, CCC
Volume2019-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference38th Chinese Control Conference, CCC 2019
Country/TerritoryChina
CityGuangzhou
Period27/07/1930/07/19

Keywords

  • Actual distributed compressed estimation
  • Compressed sensing
  • Distributed cooperative estimation
  • Optimized measurement matrix

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