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Sensors 2015, 15(8), 19416-19428;

Ocean Wave Separation Using CEEMD-Wavelet in GPS Wave Measurement

School of Earth Science and Engineering, Hohai University, Nanjing 210098, China
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 28 April 2015 / Revised: 31 July 2015 / Accepted: 31 July 2015 / Published: 7 August 2015
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [1397 KB, uploaded 7 August 2015]   |  


Monitoring ocean waves plays a crucial role in, for example, coastal environmental and protection studies. Traditional methods for measuring ocean waves are based on ultrasonic sensors and accelerometers. However, the Global Positioning System (GPS) has been introduced recently and has the advantage of being smaller, less expensive, and not requiring calibration in comparison with the traditional methods. Therefore, for accurately measuring ocean waves using GPS, further research on the separation of the wave signals from the vertical GPS-mounted carrier displacements is still necessary. In order to contribute to this topic, we present a novel method that combines complementary ensemble empirical mode decomposition (CEEMD) with a wavelet threshold denoising model (i.e., CEEMD-Wavelet). This method seeks to extract wave signals with less residual noise and without losing useful information. Compared with the wave parameters derived from the moving average skill, high pass filter and wave gauge, the results show that the accuracy of the wave parameters for the proposed method was improved with errors of about 2 cm and 0.2 s for mean wave height and mean period, respectively, verifying the validity of the proposed method. View Full-Text
Keywords: CEEMD; GPS; wavelet; wave measurement; wave separation CEEMD; GPS; wavelet; wave measurement; wave separation

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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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Wang, J.; He, X.; Ferreira, V.G. Ocean Wave Separation Using CEEMD-Wavelet in GPS Wave Measurement. Sensors 2015, 15, 19416-19428.

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