Efficient DOA Estimation of Coherent Sources Using Unitary Projection Matrix

Author

Qing Chen ; Ruolun Liu

Author_Institution

Sch. of Mech., Shandong Univ. at Weihai, Weihai, China

fYear

2012

fDate

27-30 May 2012

Firstpage

1

Lastpage

4

Abstract

This paper presents a Unitary Projection Matrix (UPM) method to reduce the computation cost of Direction-Of-Arrival (DOA) estimation for far-filed narrowband coherent sources. The proposed method requires only two correlation vectors of array observation to the 1st and last sensor, in which the spatial independent additive noise is eliminated effectively. The coherency of sources is decorrelated by subarray smoothing technique. The signal subspace is then approximated using matrix algebra operation in real domain instead of eigenvalue decomposition (EVD) or the singular value decomposition (SVD) in complex domain.

Keywords

correlation theory; direction-of-arrival estimation; eigenvalues and eigenfunctions; matrix algebra; singular value decomposition; DOA estimation; EVD; SVD; UPM; array observation; complex domain; direction-of-arrival estimation; eigenvalue decomposition; far-filed narrowband coherent sources; signal subspace; singular value decomposition; spatial independent additive noise; subarray smoothing technique; two correlation vectors; unitary projection matrix; Correlation; Covariance matrix; Direction of arrival estimation; Estimation; Matrices; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering and Technology (S-CET), 2012 Spring Congress on

Conference_Location

Xian

Print_ISBN

978-1-4577-1965-3

Type

conf

DOI

10.1109/SCET.2012.6342015

Filename

6342015