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

Mohamed Abubaker Alrmah, Stephan Weiss, Sangarapillai Lambotharan

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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.
Original languageEnglish
Pages629-633
Number of pages5
Publication statusPublished - 29 Aug 2011
Event19th European Signal Processing Conference - Barcelona, Spain
Duration: 29 Aug 20112 Sep 2011

Conference

Conference19th European Signal Processing Conference
CountrySpain
CityBarcelona
Period29/08/112/09/11

Keywords

  • MUSIC algorithm
  • broadband
  • narrowband
  • covariance matrices

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