Surface vessel localization from wake measurements using an array of pressure sensors in the littoral zone

Rätsep, Margus, Parnell, Kevin E., Soomere, Tarmo, Kruusmaa, Maarja, Ristolainen, Asko, and Tuhtan, Jeffrey A. (2021) Surface vessel localization from wake measurements using an array of pressure sensors in the littoral zone. Ocean Engineering, 233. 109156.

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Abstract

Vessel detection and localization based on wake measurements have been used extensively in aerial and satellite reconnaissance. Here, a wake-based approach for vessel localization and speed estimation is developed using a grid of pressure sensors on the seabed. The sensor array consisted of 9 devices in a 3 × 3 rectangular grid with 2.5 m spacing between the instruments. The array was deployed at a depth of 3 m approximately 2.5 km from the fairway. The pressure time series from all sensors were used to estimate vessel speed and the travelling distance of the wake by interpreting the geometry of its time-frequency representation. The wake direction and an estimate of the vessel course are calculated from the delays of the incoming wake between the sensor locations, equivalently, based on cross-correlations of the signal at neighbouring sensors. Results for single events are compared with data collected from the vessels self-reporting systems (AIS). It is concluded that a grid of pressure sensors can provide a reliable estimation of the vessel location and its speed. The presented technique makes it possible to locate ships, and their speed and course, as the next step towards a vessel traffic monitoring system based on wake recordings.

Item ID: 71503
Item Type: Article (Research - C1)
ISSN: 1873-5258
Keywords: AIS data, Pressure sensor, Ship wake, Spectral analysis, Vessel localization
Copyright Information: © 2021 Elsevier Ltd. All rights reserved.
Date Deposited: 03 Feb 2022 23:26
FoR Codes: 37 EARTH SCIENCES > 3709 Physical geography and environmental geoscience > 370999 Physical geography and environmental geoscience not elsewhere classified @ 100%
SEO Codes: 18 ENVIRONMENTAL MANAGEMENT > 1802 Coastal and estuarine systems and management > 180299 Coastal and estuarine systems and management not elsewhere classified @ 100%
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