Automatic acoustic data processing for a hydrophone intercomparison

The accuracy and reliability of hydrophone measurements are critical for various underwater applications. In this study, we present an automated method for acoustic data processing aimed at facilitating hydrophone intercomparison. The method employs robust tone detection to identify and segment acou...

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Detalles Bibliográficos
Autores: Garcia Benadí, Albert|||0000-0002-5560-4392, Martínez, Enoc, Neves, Silvana, Pensieri, Sara, Pihan-Le Bars, Hélène, Bozzano, Roberto
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/452311
Acceso en línea:https://hdl.handle.net/2117/452311
https://dx.doi.org/10.5821/iwp.2025.24.13977
Access Level:acceso abierto
Palabra clave:Oceanography -- Research
Oceanography -- Equipment and supplies
Underwater acoustics
Hydrophones
Signal processing
Intercomparison
Oceanografia -- Investigació
Oceanografia -- Aparells i instruments
Acústica submarina
Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Oceanografia
Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
Descripción
Sumario:The accuracy and reliability of hydrophone measurements are critical for various underwater applications. In this study, we present an automated method for acoustic data processing aimed at facilitating hydrophone intercomparison. The method employs robust tone detection to identify and segment acoustic files, enabling precise analysis of the received signals. This approach was applied to the comparison of four hydrophones, with the measurements following ISO/IEC 17043:2010 and ISO 13528:2022 standards for proficiency testing and statistical evaluation. The results demonstrate that the automated segmentation process not only improves the efficiency of data analysis but also ensures consistency across different hydrophones. The method offers significant potential for standardizing acoustic data evaluation in hydrophone calibration and intercomparison studies, contributing to more reliable performance assessments in hydrophone-based measurement system.