NDLI: Multi-channel signal detection using time-varying estimation techniques

Content Provider	IEEE Xplore Digital Library
Author	Ghartey, K. Cochran, D. Papandreou-Suppappola, A.
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA (Ghartey, K.)
Abstract	We propose to improve the performance of a generalized coherence (GC) detector using noise-suppressed estimates obtained from time varying (TV) techniques. In source detection and localization, the presence of a common but unknown signal must be detected using data from several noisy channels. If one of the channel outputs has a sufficiently high SNR, then it could be pre-processed to improve detector performance. This work uses matching pursuit decomposition (MPD), and instantaneous frequency (IF) estimation to form an estimate of the highest SNR channel output. The signal estimate is then processed by a GC detector or a generalized likelihood ratio test (GLRT) detector to detect the presence of the signal on the remaining, noisier channels. Detector performance is shown to be significantly improved via simulations.
Sponsorship	Universiti Teknologi Malaysia
Starting Page	577
Ending Page	580
File Size	414187
Page Count	4
File Format	PDF
ISBN	0780367030
DOI	10.1109/ISSPA.2001.950209
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-08-13
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal detection Detectors Frequency estimation Signal processing Statistical distributions TV Matching pursuit algorithms Probability State estimation Testing
Content Type	Text
Resource Type	Article

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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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