Angle of arrival estimation for broadband signals

McWhirter, John ORCID: https://orcid.org/0000-0003-1810-3318, Alrmah, M. A., Weiss, S., Redif, S. and Lambotharan, S. 2013. Angle of arrival estimation for broadband signals. Presented at: IET Intelligent Signal Processing, London, 2-3 December 2013. 10.1049/cp.2013.2066

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Abstract

This paper reviews and compares three different linear algebraic signal subspace techniques for angle of arrival estimation. These include a polynomial matrix approach to multiple signal classification (MUSIC), a parameterised spatial covariance matrix approach, and an auto-focussing based version of coherent signal subspace estimation applied to MUSIC. These approaches are expressed in the framework of polynomial space-time covariance matrices and their polynomial eigenvalue decomposition, thus highlighting their commonalities and differences. Simulation results comparing the accuracy of these broadband angle of arrival estimation methods are presented.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Completion
Status:	Unpublished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/59868

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