@inproceedings{ddc5c7e4a8c3457bad21806319633648,
title = "On optimization of the measurement matrix for distributed compressed estimation",
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.",
keywords = "Actual distributed compressed estimation, Compressed sensing, Distributed cooperative estimation, Optimized measurement matrix",
author = "Lizhong Bai and Lijuan Jia and Yifei Liu and Cheng Ma and Zijiang Yang",
note = "Publisher Copyright: {\textcopyright} 2019 Technical Committee on Control Theory, Chinese Association of Automation.; 38th Chinese Control Conference, CCC 2019 ; Conference date: 27-07-2019 Through 30-07-2019",
year = "2019",
month = jul,
doi = "10.23919/ChiCC.2019.8866250",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "3681--3685",
editor = "Minyue Fu and Jian Sun",
booktitle = "Proceedings of the 38th Chinese Control Conference, CCC 2019",
address = "United States",
}