Direction Of Arrival Estimation In The Presence Of Noise With Unknown, Arbitrary Covariance Matrices

J. P Reilly; K. M. Wong; P. M. Reilly

doi:10.1117/12.962288

14 November 1989 Direction Of Arrival Estimation In The Presence Of Noise With Unknown, Arbitrary Covariance Matrices

J. P Reilly, K. M. Wong, P. M. Reilly

Proceedings Volume 1152, Advanced Algorithms and Architectures for Signal Processing IV; (1989) https://doi.org/10.1117/12.962288
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

Abstract

A new method for estimating directions of arrival of plane waves onto arrays of sensors is proposed. The method is particularly well-suited to the case where the background noise field is non-isotropic, with arbitrary covariance matrix. The joint posterior probability density function of the signal parameters and the noise covariance matrix Σ is formed after a suitable non-informative prior p(Σ) is defined, and then the dependence on Σ is integrated out. The resulting estimator structure is then modified to substantially reduce the computational requirements. A geometric interpretation of the final objective function is given. Significantly improved performance over the MUSIC algorithm, particularly with regard to threshold, is observed.

Citation Download Citation

J. P Reilly, K. M. Wong, and P. M. Reilly "Direction Of Arrival Estimation In The Presence Of Noise With Unknown, Arbitrary Covariance Matrices", Proc. SPIE 1152, Advanced Algorithms and Architectures for Signal Processing IV, (14 November 1989); https://doi.org/10.1117/12.962288

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