DOA Estimation Methods Based on Covariance Differencing under a Colored Noise Environment

Ning LI  Yan GUO  Qi-Hui WU  Jin-Long WANG  Xue-Liang LIU  

IEICE TRANSACTIONS on Communications   Vol.E94-B    No.3    pp.735-741
Publication Date: 2011/03/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E94.B.735
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Antennas and Propagation
DOA,  covariance differencing,  spatial smoothing,  

Full Text: PDF>>
Buy this Article

A method based on covariance differencing for a uniform linear array is proposed to counter the problem of direction finding of narrowband signals under a colored noise environment. By assuming a Hermitian symmetric Toeplitz matrix for the unknown noise, the array covariance matrix is transformed into a centrohermitian matrix in an appropriate way allowing the noise component to be eliminated. The modified covariance differencing algorithm provides accurate direction of arrival (DOA) estimation when the incident signals are uncorrelated or just two of the signals are coherent. If there are more than two coherent signals, the presented method combined with spatial smoothing (SS) scheme can be used. Unlike the original method, the new approach dispenses the need to determine the true angles and the phantom angles. Simulation results demonstrate the effectiveness of presented algorithm.