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Monitoring anthropogenic ocean sound from shipping using an acoustic sensor network and a compressive sensing approach.

Harris, P M; Philip, R*; Robinson, S P; Wang, L S (2016) Monitoring anthropogenic ocean sound from shipping using an acoustic sensor network and a compressive sensing approach. Sensors, 16 (3). p. 415.

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Abstract

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 the 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 then used to estimate 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, useful information about the noise map can be obtained.

Item Type: Article
Subjects: Acoustics
Acoustics > Underwater Acoustics
Identification number/DOI: 10.3390/s16030415
Last Modified: 02 Feb 2018 13:13
URI: http://eprintspublications.npl.co.uk/id/eprint/7101

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