Title :
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
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;
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
DOI :
10.1109/APS.2007.4396738
