Polynomial subspace decomposition for broadband angle of arrival estimation

Mohamed Abubaker Alrmah; Jamie Corr; Ahmed Alzin; Keith Thompson; Stephan Weiss

doi:10.1109/SSPD.2014.6943305

Polynomial subspace decomposition for broadband angle of arrival estimation

Mohamed Abubaker Alrmah, Jamie Corr, Ahmed Alzin, Keith Thompson, Stephan Weiss

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

7 Citations (Scopus)

119 Downloads (Pure)

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.

Original language	English
Title of host publication	2014 Sensor Signal Processing for Defence (SSPD)
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Print)	978-1-4799-5294-6
DOIs	https://doi.org/10.1109/SSPD.2014.6943305
Publication status	Published - Sep 2014
Event	2014 Sensor Signal Processing for Defence - Scotland, Edinburgh, United Kingdom Duration: 8 Sep 2014 → 9 Sep 2014

Conference

Conference	2014 Sensor Signal Processing for Defence
Country	United Kingdom
City	Edinburgh
Period	8/09/14 → 9/09/14

Keywords

covariance matrices
iterative methods
matrix decomposition
polynomial approximation
broadband signal

Access to Document

10.1109/SSPD.2014.6943305

Alrmah-etal-SSPD-2014-Polynomial-subspace-decomposition-for-broadband-angleAccepted author manuscript, 197 KB

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6943305

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Projects

1 Finished

Signal Processing Solutions for the Networked Battlespace

Soraghan, J. & Weiss, S.

EPSRC (Engineering and Physical Sciences Research Council)

1/04/13 → 31/03/18

Project: Research

Cite this

Alrmah, M. A., Corr, J., Alzin, A., Thompson, K., & Weiss, S. (2014). Polynomial subspace decomposition for broadband angle of arrival estimation. In 2014 Sensor Signal Processing for Defence (SSPD) (pp. 1-5). IEEE. https://doi.org/10.1109/SSPD.2014.6943305

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