NDLI: Tracking moving sources using the rank-revealing QR factorization

Content Provider	IEEE Xplore Digital Library
Author	Fargues, M.P.
Copyright Year	1991
Description	Author affiliation: Dept. of Electr. & Comput. Eng., US Naval Postgraduate Sch., Monterey, CA, USA (Fargues, M.P.)
Abstract	The author investigates an updating scheme for the rank revealing QR (RRQR) algorithm described earlier by T.F. Chan (see Linear Algebr. Appl., vol.88, no 89, p.67-82 1987) and applies it to the direction of arrival problem. This technique allows for tracking of moving sources by taking advantage of the simplicity of the regular QR updating scheme and the rank-revealing property of the RRQR factorization. Subspace methods and the RRQR technique are reviewed. It is shown that the RRQR algorithm can be used to update signal and noise subspaces from the noise-free correlation matrix. Experimental results and comparisons with eigen-based signal and noise subspaces are presented.
Starting Page	292
Ending Page	296
File Size	349212
Page Count	5
File Format	PDF
ISBN	0818624701
ISSN	10586393
DOI	10.1109/ACSSC.1991.186459
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	Sensor arrays Signal processing Signal processing algorithms Narrowband Frequency Direction of arrival estimation Distortion Delay Additive noise White noise
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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