Work

Fiber-optic hydrophone sensor for passive acoustic monitoring applications

Year: 2025

Type: article

Abstract: Fiber-Optic Hydrophones (FOHs) are starting to gain interest for Passive Acoustic Monitoring (PAM) applications. One of the fiber optic sensing technologies that has been shown to have practical applicability in harsh environments is the use of sensors based on Fiber Bragg Grating (FBG). Through the construction of a prototype and its experimental validation, it has been demonstrated that a 7 Multi-Core Fiber (MCF) adhered longitudinally to a membrane on the top of a hollow cylinder transforms acoustic pressure waves into mechanical deformations detectable by the 7 FBGs. The combination of this structure with a Deep Convolutional Neural Network based on a U-Net architecture allows to reduce the FOH noise and increase its sensitivity offering a reference framework for the design of FBG-based hydrophones in specific applications. • A 7-core Fiber Bragg Grating hydrophone enhances acoustic sensitivity. • U-Net convolutional networks effectively denoise multi-core spectrograms. • Training on modeled fin whale calls transfers successfully to real recordings. • Demonstrates a lightweight, non-electrical alternative for acoustic monitoring.

Source: Measurement

DOI: 10.1016/j.measurement.2025.119859

Authors: Ramón Miralles, Manuel Monfort, Javier Madrigal, Salvador Sales, Jorge Gosalbez

Institution: Universitat Politècnica de València

Language: English

Topic: Advanced Fiber Optic Sensors

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,760

Funders: Ministerio de Ciencia, Innovación y Universidades, European Commission