@inproceedings{4ed5d73f23ea4adcb38d16627e371756,
title = "Distributed Root-MUSIC Using Finite-Time Average Consensus",
abstract = "Distributed (decentralized) algorithms for principal component analysis of covariance matrices are well-known, and their applications in array signal processing have received more interest recently. Inspired by this, a new distributed algorithm for the popular DOA estimation method, root-MUSIC, is proposed. The average consensus method is used to avoid the need for a fusion center in a sensor network, which makes the proposed algorithm fully distributed. In particular, the algorithm is based on a recently reported finite-time version of average consensus which converges to the exact solution in a finite number of iterations. This allows the proposed distributed root-MUSIC to achieve exactly the same performance as the centralized counterpart. The good performance of the proposed algorithm is verified by simulations.",
keywords = "decentralized, Distributed, DOA estimation, finite-time average consensus, root-MUSIC",
author = "Chen, {Po Chih} and Vaidyanathan, {P. P.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 ; Conference date: 31-10-2021 Through 03-11-2021",
year = "2021",
doi = "10.1109/IEEECONF53345.2021.9723302",
language = "English",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "539--543",
editor = "Matthews, {Michael B.}",
booktitle = "55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021",
address = "美國",
}