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

Weiss, Stephan and Alrmah, Mohamed and Lambotharan, Sangarapillai and McWhirter, John G. and Kaveh, Mostafa; (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, FRA, pp. 109-112. ISBN 978-1-4673-3144-9

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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.

Creators(s): Weiss, Stephan ORCID logoORCID: https://orcid.org/0000-0002-3486-7206, Alrmah, Mohamed, Lambotharan, Sangarapillai, McWhirter, John G. and Kaveh, Mostafa;
Item type:Book Section
ID code:46610
Keywords:polynomials , vectors, arrays, broadband communication, covariance matrices, matrix decomposition, multiple signal classification, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering
Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
Department:Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
Depositing user: Pure Administrator
Date deposited:29 Jan 2014 12:09
Last modified:13 Feb 2020 09:09
URI:https://strathprints.strath.ac.uk/id/eprint/46610
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