2026-04-14T06:57:18Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3396882026-01-21T08:56:48Zcom_2072_1033col_2072_452950

Estimation of wave period from pitch and roll of a lidar buoy Salcedo Bosch, Andreu Rocadenbosch Burillo, Francisco Gutiérrez Antuñano, Miguel Ángel Tiana Alsina, Jordi Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció Wind power Optical radar Wave-motion, Theory of Wave Period Tilt Pitch Roll PSD Blackman–Tukey IMU Lidar Buoy Energia eòlica Radar òptic Moviment ondulatori, Teoria del This work proposes a new wave-period estimation (L-dB) method based on the power-spectral-density (PSD) estimation of pitch and roll motional time series of a Doppler wind lidar buoy under the assumption of small angles (±22 deg) and slow yaw drifts (1 min), and the neglection of translational motion. We revisit the buoy’s simplified two-degrees-of-freedom (2-DoF) motional model and formulate the PSD associated with the eigenaxis tilt of the lidar buoy, which was modelled as a complex-number random process. From this, we present the L-dB method, which estimates the wave period as the average wavelength associated to the cutoff frequency span at which the spectral components drop off L decibels from the peak level. In the framework of the IJmuiden campaign (North Sea, 29 March–17 June 2015), the L-dB method is compared in reference to most common oceanographic wave-period estimation methods by using a TriaxysTM buoy. Parametric analysis showed good agreement (correlation coefficient, ρ = 0.86, root-mean-square error (RMSE) = 0.46 s, and mean difference, MD = 0.02 s) between the proposed L-dB method and the oceanographic zero-crossing method when the threshold L was set at 8 dB. This research was funded by the Spanish Government and EU Regional Development Funds, ARS project PGC2018-094132-B-I00 and ACTRIS-IMP project GA-871115. The European Institute of Innovation and Technology (EIT), KIC InnoEnergy project NEPTUNE (call FP7) supported the measurement campaigns. The Generalitat de Catalunya—AGAUR funded doctoral grant 2020 FISDU 00455 by A. Salcedo-Bosch. CommSensLab-UPC is an Excellence Unit (MDM-2016-0600) funded by the Agencia Estatal de Investigación, Spain. Peer Reviewed Postprint (published version) 2021-02-12 Article https://www.mdpi.com/1424-8220/21/4/1310 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094132-B-I00/ES/TELEDETECCION ATMOSFERICA MEDIANTE SENSORES COOPERATIVOS LIDAR, RADAR Y PASIVOS: APLICACIONES SOBRE TIERRA Y MAR PARA LA OBSERVACION ATMOSFERICA Y ENERGIA EOLICA OFF-SHORE/ info:eu-repo/grantAgreement/EC/H2020/871115/EU/Aerosol, Clouds and Trace Gases Research Infrastructure Implementation Project/ACTRIS IMP info:eu-repo/grantAgreement/MINECO/1PE/MDM-2016-0600 https://creativecommons.org/licenses/by/4.0/ Open Access Attribution 4.0 International Multidisciplinary Digital Publishing Institute (MDPI)