NDLI: Cramér-Rao Bound for Parameter Estimation in Sensor Arrays with Mutual Coupling

Content Provider	IEEE Xplore Digital Library
Author	Pascual, J.P. von Ellenrieder, N. Muravchik, C.
Copyright Year	2003
Abstract	The mutual coupling effect in a sensor array must be taken into account, since it degrades significantly the performance of the well-known signal direction finding algorithms. In this work, we derived the Cramér-Rao bound on the estimation of the mutual coupling coefficients and of the signal direction of arrival, when the signal covariance matrix and the noise variance are unknown. The Cramér-Rao bound plays an important role in estimation problems, since it allow us to study the performance of estimation methods under certain conditions. We use the calculated bounds to evaluate the performance of an estimation method of the mentioned parameters. This approach uses the multiple signal classification algorithm on an enlarged sensor array with auxiliary elements, whose number depends on the number of mutual coupling coefficients.
Starting Page	91
Ending Page	96
Page Count	6
File Size	466849
File Format	PDF
ISSN	15480992
Volume Number	11
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-02-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Covariance matrices Signal to noise ratio Mutual coupling Vectors Estimation Sensor arrays Multiple signal classification sensor array Cramér-Rao bound DOA estimation MUSIC mutual coupling
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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