Utvikling av bredbånds frekvensdomenebasert aktiv sonar m. skannefunksjon for sanntidsklassifisering

Offentlig prosjektsammendrag

This project will develop new technology for subsea sonar systems that can classify underwater objects and phenomena more accurately and rapidly than is possible today. Current scanning sonars are limited by internal noise, which reduces their ability to use broadband acoustic signals for advanced classification. The project will address this challenge by creating new solutions for clean broadband signal capture in scanning systems, and by developing software that can interpret this data using frequency-domain analysis and machine learning. The result will be new knowledge in underwater acoustics and signal processing, and a technological platform that introduces a capability not previously available in commercial scanning sonar systems: real-time classification based on broadband frequency analysis.