Picture of scraped petri dish

Scrape below the surface of Strathprints...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. Explore world class Open Access research by researchers at Strathclyde, a leading technological university.

Explore

An extension of the MUSIC algorithm to broadband scenarios using polynomial eigenvalue decomposition

Alrmah, Mohamed Abubaker and Weiss, Stephan and Lambotharan, Sangarapillai (2011) An extension of the MUSIC algorithm to broadband scenarios using polynomial eigenvalue decomposition. In: 19th European Signal Processing Conference, 2011-08-29 - 2011-09-02.

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

The multiple signal classification (MUSIC) algorithm for direction of arrival estimation is defined for narrowband scenarios. In this paper, a generalisation to the broadband case is presented, based on a description of broadband systems by polynomial space-time covariance matrices. A polynomial eigenvalue decomposition is used to determine the noiseonly subspace of the this matrix, which can be scanned by appropriately defined broadband steering vectors. Two broadband MUSIC algorithm versions are presented, which resolve either angle of arrival alone or in combination with the frequency range over which sources are active. Initial results for these approaches are presented and demonstrate a significant benefit over independent frequency bin processing using narrowband MUSIC.