Literature DB >> 21361436

Acoustic ship signature measurements by cross-correlation method.

Laurent Fillinger1, Alexander Sutin, Alexander Sedunov.   

Abstract

Cross-correlation methods were applied for the estimation of the power spectral density and modulation spectrum of underwater noise generated by moving vessels. The cross-correlation of the signal from two hydrophones allows the separation of vessel acoustic signatures in a busy estuary. Experimental data recorded in the Hudson River are used for demonstration that cross-correlation method measured the same ship noise and ship noise modulation spectra as conventional methods. The cross-correlation method was then applied for the separation of the acoustic signatures of two ships present simultaneously. Presented methods can be useful for ship traffic monitoring and small ship classification, even in noisy harbor environments.

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Year:  2011        PMID: 21361436     DOI: 10.1121/1.3365315

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  2 in total

Review 1.  Toward a decade of ocean science for sustainable development through acoustic animal tracking.

Authors:  Josep Alós; Kim Aarestrup; David Abecasis; Pedro Afonso; Alexandre Alonso-Fernandez; Eneko Aspillaga; Margarida Barcelo-Serra; Jonathan Bolland; Miguel Cabanellas-Reboredo; Robert Lennox; Ross McGill; Aytaç Özgül; Jan Reubens; David Villegas-Ríos
Journal:  Glob Chang Biol       Date:  2022-08-05       Impact factor: 13.211

2.  Classification of Surface Vehicle Propeller Cavitation Noise Using Spectrogram Processing in Combination with Convolution Neural Network.

Authors:  Nhat Hoang Bach; Le Ha Vu; Van Duc Nguyen
Journal:  Sensors (Basel)       Date:  2021-05-12       Impact factor: 3.576

  2 in total

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