Title :
Direction finding in correlated noise fields based on joint block-diagonalization of spatio-temporal correlation matrices
Author :
Belouchrani, Adel ; Amin, Moeness G. ; Abed-Meraim, Karim
Author_Institution :
Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
Abstract :
Direction of arrival (DOA) estimation techniques require knowledge of the sensor-to-sensor correlation of the noise, which constitutes a significant drawback. In the case of temporally correlated signals, it is possible to estimate the signal parameters without any assumptions made on the spatial covariance matrix of the noise. A new method for the estimation of the signal subspace and noise subspace is introduced. The proposed approach is based on a joint block-diagonalization (JBD) of a combined set of spatio-temporal correlation matrices. Once the signal and the noise subspaces are estimated, any subspace based approach can be applied for DOA estimation. A performance comparison of the proposed approach with an existing technique is provided.
Keywords :
array signal processing; correlation methods; direction-of-arrival estimation; matrix algebra; noise; DOA estimation; correlated noise fields; direction finding; direction of arrival estimation; joint block-diagonalization; noise subspace estimation; performance; sensor to sensor correlation; signal parameters; signal subspace estimation; spatial covariance matrix; spatiotemporal correlation matrices; subspace based approach; temporally correlated signals; Additive noise; Covariance matrix; Data models; Degradation; Direction of arrival estimation; Instruments; Parameter estimation; Sensor arrays; Sensor phenomena and characterization; Working environment noise;
Journal_Title :
Signal Processing Letters, IEEE
