NDLI: A new HOS-based model for signal detection in non-Gaussian noise: an application to underwater acoustic communications

Content Provider	IEEE Xplore Digital Library
Author	Tacconi, G. Tesei, A. Regazzoni, C.S.
Copyright Year	1995
Description	Author affiliation: Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy (Tacconi, G.; Tesei, A.; Regazzoni, C.S.)
Abstract	In the context of digital signal processing addressed to underwater acoustic communications, the paper focuses attention on the optimization of detection of weak signals in presence of additive independent stationary non-Gaussian noise. In order to detect signals in the case of low SNR values, the selected binary statistical testing approach consists in a locally optimum detector (LOD), designed on the basis of a new proposed HOS-based model of non-Gaussian noise probability density function (pdf). In particular, an "asymmetric Gaussian" pdf model is introduced, in order to describe realistically non-Gaussian noise in a very simple way. The resulting test has been compared with the Gaussian-hypothesis LOD test. Experimental results have shown significant advantages in modelling noise pdf on the basis of the proposed pdf function; they derive from the application of the LOD test for detecting known deterministic signals corrupted by real acoustic ship-traffic-radiated noise.
Starting Page	620
Ending Page	625
File Size	423483
Page Count	6
File Format	PDF
ISBN	0933957149
DOI	10.1109/OCEANS.1995.526901
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-10-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal detection Acoustic noise Acoustic signal detection Acoustic testing Additive noise Context Digital signal processing Underwater acoustics Underwater communication Underwater tracking
Content Type	Text
Resource Type	Article

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