Distributed Algorithms for Array Signal Processing

Distributed or decentralized estimation of covariance, and distributed principal component analysis have been introduced and studied in the signal processing community in recent years, and applications in array processing have been indicated in some detail. Inspired by these, this paper provides a d...

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Bibliographic Details
Published in:IEEE transactions on signal processing Vol. 69; pp. 4607 - 4622
Main Authors: Chen, Po-Chih, Vaidyanathan, Palghat
Format: Journal Article
Language:English
Published: New York IEEE 2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Array signal processing
Arrays
Capon beamforming
Convergence
convolutional beamspace
Direction-of-arrival estimation
Distributed algorithms
Distributed or decentralized DOA estimation
ESPRIT
Estimation
Exact solutions
FOCUSS
Principal components analysis
root-MUSIC
Signal processing
Signal processing algorithms
Smoothing methods
Spatial smoothing
ISSN:1053-587X, 1941-0476
Online Access:Get full text
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Summary:Distributed or decentralized estimation of covariance, and distributed principal component analysis have been introduced and studied in the signal processing community in recent years, and applications in array processing have been indicated in some detail. Inspired by these, this paper provides a detailed development of several distributed algorithms for array processing. New distributed algorithms are proposed for DOA estimation methods like root-MUSIC, total least squares-ESPRIT, and FOCUSS. Other contributions include distributed design of the Capon beamformer from data, and distributed implementation of the spatial smoothing method for coherent sources. A distributed implementation of a recently proposed beamspace method called the convolutional beamspace (CBS) is also proposed. The proposed algorithms are fully distributed - an average consensus (AC) is used to avoid the need for a fusion center. The algorithms are based on a recently reported finite-time version of AC which converges to the exact solution in a finite number of iterations. Numerical examples are given throughout the paper to show the effectiveness of the proposed algorithms.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2021.3101015