NDLI: GEESE (GEneralized Eigenvalues Utilizing Signal Subspace Eignevectors)

Content Provider	IEEE Xplore Digital Library
Author	Pillai, S.U. Byung Ho Kwon
Copyright Year	1988
Description	Author affiliation: Polytechnic University (Pillai, S.U.)
Abstract	A new technique for estimating the directions of arrival of multiple signals utilizing the generalized eigenvalues associated with certain matrices generated from the signal subspace eigenvectors is reported here. This is carried out by observing a well-known property of the signal subspace: i.e., in presence of uncorrelated and identical sensor noise, the subspace spanned by the true direction vectors coincides with the one spanned by the eigenvectors corresponding to all, except the smallest set of repeating eigenvalue of the array output covariance matrix. Further, a first-order perturbation analysis is carried out to evaluate the performance of this new scheme, when the array output cross-covariances are estimated from the data.
Starting Page	568
Ending Page	572
File Size	402406
Page Count	5
File Format	PDF
ISSN	10586393
DOI	10.1109/ACSSC.1988.754606
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1988-10-31
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Eigenvalues and eigenfunctions Sensor arrays Covariance matrix Transmission line matrix methods Multiple signal classification Direction of arrival estimation Signal analysis Signal processing Array signal processing Signal resolution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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