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Estimation of Wave Characteristics Based on Global Navigation Satellite System Data Installed on Board Sailboats

1
“Sapienza”, University of Rome, DICEA, Via Eudossiana, 18, 00184 Roma, Italy
2
Department of Civil, Construction-Architectural and Environmental Engineering (DICEAA)—Environmental and Maritime Hydraulic Laboratory (LIam), University of L’Aquila, 67100 L’Aquila, Italy
3
Engineering Department, Roma Tre University, Via V. Volterra, 62, 00146 Roma, Italy
4
Department of Civil Engineering and Computer Science , University of Rome “Tor Vergata”, DICII, Via del Politecnico, 1, 00133 Roma, Italy
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(10), 2295; https://doi.org/10.3390/s19102295
Received: 15 March 2019 / Revised: 30 April 2019 / Accepted: 14 May 2019 / Published: 17 May 2019
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Abstract

This paper illustrates a methodology to get a reliable estimation of the local wave properties, based on the reconstruction of the motion of a moving sailboat by means of GNSS receivers installed on board and an original kinematic positioning approach. The wave parameters reconstruction may be used for many useful practical purposes, e.g., to improve of autopilots, for real-time control systems of ships, to analyze and improve the performance of race sailboats, and to estimate the local properties of the waves. A Class 40 oceanic vessel (ECO40) left from the port of “Riva di Traiano” located close to Rome (Italy) on 19 October 2014 to perform a non-stop sailing alone around the world in energy and food self-sufficiency. The proposed system was installed on ECO40 and the proposed method was applied to estimate the wave properties during a storm in the Western Mediterranean Sea. The results compared against two sets of hindcast data and wave buoy records demonstrated the reliability of the method. View Full-Text
Keywords: GPS data analysis; off-shore wave climate; sailboat; ship motions; wave characteristics GPS data analysis; off-shore wave climate; sailboat; ship motions; wave characteristics
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

De Girolamo, P.; Crespi, M.; Romano, A.; Mazzoni, A.; Di Risio, M.; Pasquali, D.; Bellotti, G.; Castellino, M.; Sammarco, P. Estimation of Wave Characteristics Based on Global Navigation Satellite System Data Installed on Board Sailboats. Sensors 2019, 19, 2295.

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