Title :
Direction-of-Arrival Estimation Based on the Joint Diagonalization Structure of Multiple Fourth-Order Cumulant Matrices
Author :
Zeng, Wen-Jun ; Li, Xi-Lin ; Zhang, Xian-Da
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing
fDate :
3/1/2009 12:00:00 AM
Abstract :
A new algorithm for direction-of-arrival (DOA) estimation of non-Gaussian sources is proposed. Based on the joint diagonalization structure of multiple fourth-order cumulant matrices, a novel cost function is designed and a new spatial spectrum for direction finding at hand is derived. Unlike the subspace-based techniques, it is not necessary to determine the number of sources in advance for the proposed algorithm. Moreover, the proposed method is insensitive to the spatially correlated noise. Simulation results are provided to demonstrate the performance of the proposed approach.
Keywords :
array signal processing; direction-of-arrival estimation; higher order statistics; matrix algebra; direction-of-arrival estimation; joint diagonalization structure; multiple fourth-order cumulant matrices; non-Gaussian sources; subspace-based techniques; Colored noise; Cost function; Covariance matrix; Degradation; Direction of arrival estimation; Multiple signal classification; Parametric statistics; Sensor arrays; Signal to noise ratio; White noise; Correlated noise; direction-of-arrival; high-order cumulants; joint diagonalization;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2010816