A novel DOA estimation based on signal subspace structure of uniform linear array

Author

Lena Chang ; Cheng, Ching-Min ; Tang, Z.S. ; Chang, S.H.

Author_Institution

Nat. Taiwan Ocean Univ., Keelung

fYear

2007

fDate

9-15 June 2007

Firstpage

5279

Lastpage

5282

Abstract

In the study, we present a novel directions of arrivals (DOAs) estimation by using signal subspace structure of an uniform linear array. The proposed method resolves the directions by using the eigenanalysis of a square matrix formed by the eigencomponents in the signal subspace of data correlation matrix. Simulation results validate the high resolution capacity and fast convergence rate of the proposed method. In addition, the proposed method has less computation burden than Root-MUSIC.

Keywords

array signal processing; correlation methods; direction-of-arrival estimation; eigenvalues and eigenfunctions; matrix algebra; signal resolution; DOA estimation; data correlation matrix; direction-of-arrival estimation; eigenanalysis; high resolution capacity; signal subspace structure; square matrix; uniform linear array; Computational modeling; Convergence; Covariance matrix; Direction of arrival estimation; Multiple signal classification; Polynomials; Sensor arrays; Signal resolution; Underwater communication; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2007 IEEE

Conference_Location

Honolulu, HI

Print_ISBN

978-1-4244-0877-1

Electronic_ISBN

978-1-4244-0878-8

Type

conf

DOI

10.1109/APS.2007.4396738

Filename

4396738