Sonar System

Sonar systems utilize sound waves to detect and image objects underwater or in air, primarily aiming to improve object detection, tracking, and classification accuracy. Current research emphasizes advanced signal processing techniques, including adaptive beamforming with inertial measurement unit (IMU) fusion for stabilization, track-before-detect algorithms for handling multiple targets in cluttered environments, and deep learning models (like convolutional and recurrent neural networks) for improved target recognition and geometry estimation from sonar images. These advancements are crucial for enhancing autonomous navigation in challenging environments (e.g., underwater, aerial robotics) and improving the performance of various applications, from marine biology to defense systems.