NDLI: Updating MUSIC and root-MUSIC with the rank-revealing URV decomposition

Content Provider	IEEE Xplore Digital Library
Author	Griffin, M.F. Stewart, G.W.
Copyright Year	1991
Description	Author affiliation: Advanced Digital Systems, East Hartford, CT, USA (Griffin, M.F.)
Abstract	The authors describe direction-of-arrival (DOA) algorithms that possess the virtues of subspace-based DOA algorithms but are not expensive to compute or difficult to update. The new DOA algorithms are based on a new decomposition, URV decomposition (URVD), which can be updated in O(N/sup 2/) and serves as an intermediary between QR decomposition and singular value decomposition. The URVD is outlined for updating subspace-based DOA algorithms, specifically MUSIC. It is shown, how to update the URVD and how it may be used for MUSIC. In addition, the authors describe how to update its variant, root-MUSIC. Root-MUSIC is used as a means for statistical performance evaluation. Several simulation results are presented in terms of mean square error and bias of the direction estimates.
Starting Page	277
Ending Page	281
File Size	283287
Page Count	5
File Format	PDF
ISBN	0818624701
ISSN	10586393
DOI	10.1109/ACSSC.1991.186456
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-11-04
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiple signal classification Frequency estimation Singular value decomposition Direction of arrival estimation Educational institutions Radio frequency
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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