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

McWhirter, John ORCID: https://orcid.org/0000-0003-1810-3318, Weiss, S., Alrmah, M. A., Lambotharan, S. and Kaveh, M. 2013. Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework. Presented at: IEEE 5th Int. Workshop on Computational Advances in Multisensor Adaptive Processing, Saint Martin, 15-18 December 2013. 10.1109/CAMSAP.2013.6714019

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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.

Item Type:	Conference or Workshop Item (Paper)
Status:	Unpublished
Schools:	Engineering
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Last Modified:	25 Oct 2022 09:45
URI:	https://orca.cardiff.ac.uk/id/eprint/59869

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