Hydrophone Array

Hydrophone arrays are collections of underwater microphones used to detect and analyze sound sources, with applications ranging from marine mammal research to industrial monitoring. Current research focuses on improving signal processing techniques, such as adaptive beamforming and track-before-detect algorithms, often integrated with machine learning models like convolutional neural networks (CNNs) and Kalman filters to enhance target detection and tracking accuracy. These advancements are driving improvements in various fields, including predictive maintenance in manufacturing, autonomous navigation of underwater vehicles, and high-resolution medical imaging.