@article{442370b4dc8b455ab026bd1256b18f9a,
title = "Direction Finding Using Noise Covariance Modeling",
abstract = "We consider the problem of direction finding in the presence of colored noise whose covariance matrix is unknown. We show that the ambient noise covariance matrix can be modeled by a sum of Hermitian matrices known up to a multiplicative scalar. Using this model, we estimate jointly the directions of arrival of the signals and the noise model parameters. We show that under certain conditions, it is possible to obtain unbiased and efficient estimates of the signal direction. The Cram{\'e}r-Rao bound is used as the principal analysis tool. Computer simulations using the maximum likelihood estimator provide a validation of the analytical results.",
author = "Benjamin Friedlander and Weiss, {Anthony J.}",
note = "Funding Information: Manuscript received October 6. 1993; revised November 21, 1994. This work was supported by the United States Army Research Office under Contract DAAL03-91 -C-0022. sponsored by U.S. Army Communications Electronics Command. Center for Signals Warfare. The associate editor coordinating the review of this paper and approving it for publication was Prof. Isabel Lourtie. B. Friedlander is with the Deptartment of Electrical & Computer Engineering, University of California, Davis, CA 95616 USA. A. J. Weiss is with the Electrical Engineering Dept., Tel-Aviv University, Tel-Aviv, 69978, Israel. IEEE Log Number 941 1992.",
year = "1995",
month = jul,
doi = "10.1109/78.398717",
language = "אנגלית",
volume = "43",
pages = "1557--1567",
journal = "IEEE Transactions on Signal Processing",
issn = "1053-587X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "7",
}