NDLI: Matched field source detection and localization in high noise environments: A novel reduced-rank signal processing approach

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Matched field source detection and localization in high noise environments: A novel reduced-rank signal processing approach

Content Provider	IEEE Xplore Digital Library
Author	Riley, H.B. Tague, J.A.
Copyright Year	1993
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA (Riley, H.B.; Tague, J.A.)
Abstract	A new matched-field acoustic source localization technique using reduced-rank signal processing is described. The authors pose the problem as joint detection and parameter estimation in the face of unknown, structured noise. They derive a reduced-rank likelihood ratio array processor and demonstrate its ability to detect and localize sources of interest. A key feature of reduced-rank signal processing is the ability to discard undesirable information from data matrices by their low rank approximation. Computer simulation results demonstrate its viability under a wide range of operating conditions.<>
Starting Page	293
Ending Page	296
File Size	287749
Page Count	4
File Format	PDF
ISBN	0780374029
ISSN	15206149
DOI	10.1109/ICASSP.1993.319113
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-04-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise reduction Working environment noise Interference Acoustic signal detection Face detection Acoustic signal processing Signal processing algorithms Sea surface Sensor arrays Position measurement
Content Type	Text
Resource Type	Article

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