High resolution wideband DOA estimation based on modified MUSIC algorithm

Author

Zhou, Lin ; Zhao, Yong-jun ; Cui, Hao

Author_Institution

Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou

fYear

2008

fDate

20-23 June 2008

Firstpage

20

Lastpage

22

Abstract

A modified MUSIC algorithm for DOA estimation was proposed in this paper. It weighted the eigenvectors in the noise subspace which decreased the proportion of the eigenvectors of the bigger eigenvalues and increased the proportion of the eigenvectors of the smaller eigenvalues. This method adjusted the specific gravity of the eigenvectors in the spatial spectrum, and it reduced the influence of subspace expanding to MUSIC method in the nonideal instance. Then it was exerted to the wideband DOA estimating. It greatly improved the resolution of wideband DOA estimation. Simulation results verified the improvements of wideband DOA estimation by applying the modified MUSIC algorithm.

Keywords

density; direction-of-arrival estimation; eigenvalues and eigenfunctions; eigenvalues; eigenvectors; modified MUSIC algorithm; specific gravity; subspace expanding; wideband DOA estimation; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Gravity; Matrix decomposition; Multiple signal classification; Signal processing; Signal processing algorithms; Signal resolution; Wideband; MUSIC algorithm; coherent signal-subspace method; direction-of-arrival;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation, 2008. ICIA 2008. International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-2183-1

Electronic_ISBN

978-1-4244-2184-8

Type

conf

DOI

10.1109/ICINFA.2008.4607961

Filename

4607961