Ultra Maritime said its research with the University of Liverpool has shown the potential of machine learning in enhancing the anti-submarine warfare capabilities of vessels equipped with passive sonar systems.
According to the company, ML techniques improved signal extraction even in noisy environments, enabling operators to enhance tracking performance compared to traditional detection processing techniques. The research was undertaken in collaboration with the university’s Engineering and Physical Sciences Research Council Centre for Doctoral Training in Distributed Algorithms.
Rapid Technology Transition
Andrew Anderson, Ultra Maritime’s chief technology officer of sonar systems, expressed excitement about deepening the company’s relationship with the university, citing its leadership in autonomy and distributed algorithms.
“AI/ML technologies will provide disruptive benefits to many aspects of the ASW mission,” he said, adding, “We are looking forward to rapidly transitioning this exciting research into Ultra Maritime’s portfolio of ASW and torpedo defense systems.”
Anti-Submarine Warfare Capabilities
In a separate announcement, Ultra Maritime said it has secured a contract from BAE Systems Maritime Australia to fit its 2150 Bow Sonar into the Royal Australian Navy’s Hunter-class frigates, providing active and passive ASW capabilities to the vessels. The Bow Sonar’s design is geared for mine and obstacle avoidance, integrated underwater communications, and automated torpedo detection, classification and localization.
In July 2024, the U.S. Navy awarded Ultra Maritime a $49 million contract for the low-rate initial production of AN/SSQ-62G sonobuoys to support the service branch’s annual training, peacetime operations, testing expenditures and inventory maintenance for major combat operations.