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Sensors 2016, 16(3), 415;

Monitoring Anthropogenic Ocean Sound from Shipping Using an Acoustic Sensor Network and a Compressive Sensing Approach

National Physical Laboratory, Hampton Road, Teddington, Middlesex TW11 0LW, UK
Mathematical Institute, University of Oxford, Andrew Wiles Building, Woodstock Road, Oxford OX2 6GG, UK
This paper is an extended version of our paper published in Robinson, S.P.; Harris, P.M.;Wang, L.; Forbes, A.B.; Sotirakopoulo, K. Investigation into the design of a marine noise monitoring network using a compressive sensing approach. In Proceedings of the UACE2015—3rd Underwater Acoustics Conference and Exhibition, Crete, Greece, 21–26 June 2015
Author to whom correspondence should be addressed.
Academic Editor: Jaime Lloret Mauri
Received: 12 January 2016 / Revised: 14 March 2016 / Accepted: 18 March 2016 / Published: 22 March 2016
(This article belongs to the Special Issue Underwater Sensor Nodes and Underwater Sensor Networks 2016)
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Monitoring ocean acoustic noise has been the subject of considerable recent study, motivated by the desire to assess the impact of anthropogenic noise on marine life. A combination of measuring ocean sound using an acoustic sensor network and modelling sources of sound and sound propagation has been proposed as an approach to estimating the acoustic noise map within a region of interest. However, strategies for developing a monitoring network are not well established. In this paper, considerations for designing a network are investigated using a simulated scenario based on the measurement of sound from ships in a shipping lane. Using models for the sources of the sound and for sound propagation, a noise map is calculated and measurements of the noise map by a sensor network within the region of interest are simulated. A compressive sensing algorithm, which exploits the sparsity of the representation of the noise map in terms of the sources, is used to estimate the locations and levels of the sources and thence the entire noise map within the region of interest. It is shown that although the spatial resolution to which the sound sources can be identified is generally limited, estimates of aggregated measures of the noise map can be obtained that are more reliable compared with those provided by other approaches. View Full-Text
Keywords: ocean sound; acoustic sensor network; compressive sensing; source reconstruction ocean sound; acoustic sensor network; compressive sensing; source reconstruction

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Harris, P.; Philip, R.; Robinson, S.; Wang, L. Monitoring Anthropogenic Ocean Sound from Shipping Using an Acoustic Sensor Network and a Compressive Sensing Approach. Sensors 2016, 16, 415.

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