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, Barcelona.Full text not available in this repository. (Request a copy from the Strathclyde author)
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.
|Item type:||Conference or Workshop Item (Paper)|
|Keywords:||MUSIC algorithm, broadband, narrowband, covariance matrices, Electrical engineering. Electronics Nuclear engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
?? 123 ??
|Depositing user:||Pure Administrator|
|Date Deposited:||06 Sep 2011 15:26|
|Last modified:||14 Jun 2013 16:24|
Actions (login required)