Polynomial subspace decomposition for broadband angle of arrival estimation
Alrmah, Mohamed Abubaker and Corr, Jamie and Alzin, Ahmed and Thompson, Keith and Weiss, Stephan; (2014) Polynomial subspace decomposition for broadband angle of arrival estimation. In: 2014 Sensor Signal Processing for Defence (SSPD). IEEE, GBR, pp. 1-5. ISBN 978-1-4799-5294-6
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Abstract
In this paper we study the impact of polynomial or broadband subspace decompositions on any subsequent processing, which here uses the example of a broadband angle of arrival estimation technique using a recently proposed polynomial MUSIC (P-MUSIC) algorithm. The subspace decompositions are performed by iterative polynomial EVDs, which differ in their approximations to diagonalise and spectrally majorise s apce-time covariance matrix.We here show that a better diagonalisation has a significant impact on the accuracy of defining broadband signal and noise subspaces, demonstrated by a much higher accuracy of the P-MUSIC spectrum.
Creators(s): |
Alrmah, Mohamed Abubaker, Corr, Jamie ![]() ![]() ![]() ![]() | Item type: | Book Section |
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ID code: | 53361 |
Keywords: | covariance matrices, iterative methods, matrix decomposition, polynomial approximation, broadband signal, 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: | 12 Jun 2015 14:21 |
Last modified: | 01 Jan 2021 06:52 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/53361 |
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