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, 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.

    Author(s):Alrmah, Mohamed Abubaker, Corr, Jamie ORCID logoORCID: https://orcid.org/0000-0001-9900-0796, Alzin, Ahmed ORCID logoORCID: https://orcid.org/0000-0001-8716-8233, Thompson, Keith ORCID logoORCID: https://orcid.org/0000-0003-0727-7347 and Weiss, Stephan ORCID logoORCID: https://orcid.org/0000-0002-3486-7206
    Item type:Book Section
    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:26 Jul 2019 02:43
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/53361
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