By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Tacconi, G. ; Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy ; Tesei, A. ; Regazzoni, C.S.

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

Published in:

OCEANS '95. MTS/IEEE. Challenges of Our Changing Global Environment. Conference Proceedings.  (Volume:1 )

Date of Conference:

9-12 Oct 1995