Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework

Stephan Weiss; Mohamed Alrmah; Sangarapillai Lambotharan; John G.  McWhirter; Mostafa Kaveh

doi:10.1109/CAMSAP.2013.6714019

Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework

Stephan Weiss, Mohamed Alrmah, Sangarapillai Lambotharan, John G. McWhirter, Mostafa Kaveh

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

25 Citations (Scopus)

Abstract

A large family of broadband angle of arrival estimation algorithms are based on the coherent signal subspace (CSS) method, whereby focussing matrices appropriately align covariance matrices across narrowband frequency bins. In this paper, we analyse an auto-focussing approach in the framework of polynomial covariance matrix decompositions, leading to comparisons to two recently proposed polynomial multiple signal classification (MUSIC) algorithms. The analysis is complemented with numerical simulations.

Original language	English
Title of host publication	2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Publisher	IEEE
Pages	109-112
Number of pages	4
ISBN (Print)	978-1-4673-3144-9
DOIs	https://doi.org/10.1109/CAMSAP.2013.6714019
Publication status	Published - 15 Dec 2013
Event	The Fifth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - San Martin, France Duration: 15 Dec 2013 → 18 Dec 2013

Conference

Conference	The Fifth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Country/Territory	France
City	San Martin
Period	15/12/13 → 18/12/13

Keywords

polynomials
vectors
arrays
broadband communication
covariance matrices
matrix decomposition
multiple signal classification

Access to Document

10.1109/CAMSAP.2013.6714019

Signal Processing Solutions for the Networked Battlespace
Soraghan, J. & Weiss, S.
EPSRC (Engineering and Physical Sciences Research Council)
1/04/13 → 31/03/18
Project: Research

Cite this

@inproceedings{de56e43f3c09498ea195ade4e2c08c05,

title = "Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework",

abstract = "A large family of broadband angle of arrival estimation algorithms are based on the coherent signal subspace (CSS) method, whereby focussing matrices appropriately align covariance matrices across narrowband frequency bins. In this paper, we analyse an auto-focussing approach in the framework of polynomial covariance matrix decompositions, leading to comparisons to two recently proposed polynomial multiple signal classification (MUSIC) algorithms. The analysis is complemented with numerical simulations.",

keywords = "polynomials , vectors, arrays, broadband communication, covariance matrices, matrix decomposition, multiple signal classification",

author = "Stephan Weiss and Mohamed Alrmah and Sangarapillai Lambotharan and McWhirter, {John G.} and Mostafa Kaveh",

year = "2013",

month = dec,

day = "15",

doi = "10.1109/CAMSAP.2013.6714019",

language = "English",

isbn = "978-1-4673-3144-9",

pages = "109--112",

booktitle = "2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)",

publisher = "IEEE",

note = "The Fifth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing ; Conference date: 15-12-2013 Through 18-12-2013",

}

Weiss, S, Alrmah, M, Lambotharan, S, McWhirter, JG & Kaveh, M 2013, Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework. in 2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, pp. 109-112, The Fifth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, San Martin, France, 15/12/13. https://doi.org/10.1109/CAMSAP.2013.6714019

Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework. / Weiss, Stephan; Alrmah, Mohamed; Lambotharan, Sangarapillai et al.

2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2013. p. 109-112.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework

AU - Weiss, Stephan

AU - Alrmah, Mohamed

AU - Lambotharan, Sangarapillai

AU - McWhirter, John G.

AU - Kaveh, Mostafa

PY - 2013/12/15

Y1 - 2013/12/15

N2 - A large family of broadband angle of arrival estimation algorithms are based on the coherent signal subspace (CSS) method, whereby focussing matrices appropriately align covariance matrices across narrowband frequency bins. In this paper, we analyse an auto-focussing approach in the framework of polynomial covariance matrix decompositions, leading to comparisons to two recently proposed polynomial multiple signal classification (MUSIC) algorithms. The analysis is complemented with numerical simulations.

AB - A large family of broadband angle of arrival estimation algorithms are based on the coherent signal subspace (CSS) method, whereby focussing matrices appropriately align covariance matrices across narrowband frequency bins. In this paper, we analyse an auto-focussing approach in the framework of polynomial covariance matrix decompositions, leading to comparisons to two recently proposed polynomial multiple signal classification (MUSIC) algorithms. The analysis is complemented with numerical simulations.

KW - polynomials

KW - vectors

KW - arrays

KW - broadband communication

KW - covariance matrices

KW - matrix decomposition

KW - multiple signal classification

U2 - 10.1109/CAMSAP.2013.6714019

DO - 10.1109/CAMSAP.2013.6714019

M3 - Conference contribution book

SN - 978-1-4673-3144-9

SP - 109

EP - 112

BT - 2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

PB - IEEE

T2 - The Fifth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

Y2 - 15 December 2013 through 18 December 2013

ER -

Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework

Abstract

Conference

Keywords

Access to Document

Fingerprint

Projects

Signal Processing Solutions for the Networked Battlespace

Cite this