Polynomial root-MUSIC algorithm for efficient broadband direction of arrival estimation

William Coventry; Carmine Clemente; John Soraghan

doi:10.1109/SSPD.2017.8233256

Polynomial root-MUSIC algorithm for efficient broadband direction of arrival estimation

William Coventry, Carmine Clemente, John Soraghan

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

3 Citations (Scopus)

119 Downloads (Pure)

Abstract

The popular MUSIC algorithm has been recently extended to broadband scenarios through the use of polynomial matrix methods and polynomial eigenvalue decomposition algorithms, producing impressive results, at the cost of a high computational complexity. This is due to the heuristic angular search stage of the algorithm. Through the extension of the popular narrowband variant of the MUSIC algorithm, Root- MUSIC, we aim to significantly reduce the computational cost of spatio-spectral polynomial MUSIC algorithm by eliminating this searching requirement. The performance of both algorithms are analysed and compared, demonstrating a similar performance with a significant reduction in computation time.

Original language	English
Title of host publication	2017 Sensor Signal Processing for Defence Conference (SSPD)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	5
ISBN (Print)	9781538616635, 9781538616642
DOIs	https://doi.org/10.1109/SSPD.2017.8233256
Publication status	Published - 21 Dec 2017

Keywords

polynomial matrix methods
eigenvalue decomposition
MUSIC algorithm

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10.1109/SSPD.2017.8233256

Coventry-etal-SSPD2017-Polynomial-root-MUSIC-algorithm-for-efficient-broadband-directionAccepted author manuscript, 292 KB

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title = "Polynomial root-MUSIC algorithm for efficient broadband direction of arrival estimation",

abstract = "The popular MUSIC algorithm has been recently extended to broadband scenarios through the use of polynomial matrix methods and polynomial eigenvalue decomposition algorithms, producing impressive results, at the cost of a high computational complexity. This is due to the heuristic angular search stage of the algorithm. Through the extension of the popular narrowband variant of the MUSIC algorithm, Root- MUSIC, we aim to significantly reduce the computational cost of spatio-spectral polynomial MUSIC algorithm by eliminating this searching requirement. The performance of both algorithms are analysed and compared, demonstrating a similar performance with a significant reduction in computation time.",

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AU - Clemente, Carmine

AU - Soraghan, John

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N2 - The popular MUSIC algorithm has been recently extended to broadband scenarios through the use of polynomial matrix methods and polynomial eigenvalue decomposition algorithms, producing impressive results, at the cost of a high computational complexity. This is due to the heuristic angular search stage of the algorithm. Through the extension of the popular narrowband variant of the MUSIC algorithm, Root- MUSIC, we aim to significantly reduce the computational cost of spatio-spectral polynomial MUSIC algorithm by eliminating this searching requirement. The performance of both algorithms are analysed and compared, demonstrating a similar performance with a significant reduction in computation time.

AB - The popular MUSIC algorithm has been recently extended to broadband scenarios through the use of polynomial matrix methods and polynomial eigenvalue decomposition algorithms, producing impressive results, at the cost of a high computational complexity. This is due to the heuristic angular search stage of the algorithm. Through the extension of the popular narrowband variant of the MUSIC algorithm, Root- MUSIC, we aim to significantly reduce the computational cost of spatio-spectral polynomial MUSIC algorithm by eliminating this searching requirement. The performance of both algorithms are analysed and compared, demonstrating a similar performance with a significant reduction in computation time.

KW - polynomial matrix methods

KW - eigenvalue decomposition

KW - MUSIC algorithm

UR - https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8233042

U2 - 10.1109/SSPD.2017.8233256

DO - 10.1109/SSPD.2017.8233256

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BT - 2017 Sensor Signal Processing for Defence Conference (SSPD)

PB - IEEE

CY - Piscataway, NJ

ER -

Polynomial root-MUSIC algorithm for efficient broadband direction of arrival estimation

Abstract

Keywords

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Best Paper Award at the Sensor Signal Processing for Defence Conference with the paper entitled ”Polynomial Root-MUSIC Algorithm for Efficient Broadband Direction Of Arrival Estimation ”

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Polynomial root-MUSIC algorithm for efficient broadband direction of arrival estimation

Abstract

Keywords

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Prizes

Best Paper Award at the Sensor Signal Processing for Defence Conference with the paper entitled ”Polynomial Root-MUSIC Algorithm for Efficient Broadband Direction Of Arrival Estimation ”

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