@article{f08e64de4cdf4a47bdf75de36281adcb,
title = "Performance Analysis of Spatial Smoothing with Interpolated Arrays",
abstract = "The interpolated spatial smoothing algorithm is a computationally efficient method for estimating the directions of arrival (DOA{\textquoteleft}s) of signals, some of which may be perfectly correlated. It extends the spatial smoothing method to arbitrary array geometries. In an earlier paper we derived this algorithm and studied its properties. This paper provides a statistical performance analysis for the algorithm. Closed form expressions for the covariance matrix of the DOA estimation errors are derived using a perturbation analysis. Evaluating these expressions for specific cases and comparing them to the Cramer—Rao lower bound for the DOA estimates, provides insight into the statistical efficiency of this algorithm. The formulas for the error covariance are quite general, and can be specialized to provide results for other DOA estimation algorithms as well.",
author = "Weiss, {Anthony J.}",
note = "Funding Information: Manuscript received August 24, 1990; revised February 24, 1992. The associate editor coordinating the review of this paper and approving it for publication was Prof. S. Unnikrishna Pillai. This work was supported by the United States Army Research Office under Contracts DAAL03-89-C-0007 and DAAL03-91-C-0022, sponsored by the U.S. Army Communications Electronics Command, Center for Signals Warfare. A. J. Weiss is with the Department of Electrical Engineering, Tel Aviv University, Tel Aviv, 69978, Israel. B. Friedlander is with the Department of Electrical and Computer Engineering, University of Califomia, Davis, CA 95616. IEEE Log Number 9207538.",
year = "1993",
month = may,
doi = "10.1109/78.215306",
language = "אנגלית",
volume = "41",
pages = "1881--1892",
journal = "IEEE Transactions on Signal Processing",
issn = "1053-587X",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",
}