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| AQS-22 | |
|---|---|
| Name | AQS-22 |
| Type | Active sonar minehunting system |
| Place of origin | United States |
| Manufacturer | Raytheon |
| Introduced | 2010s |
AQS-22 The AQS-22 is an active sonar minehunting system developed for influence and contact mine detection and classification, integration with surface ships and unmanned vehicles. It was produced to complement legacy systems aboard USS Freedom (LCS-1), USS Independence (LCS-2), United States Navy mine countermeasure efforts and allied programs with interoperability ambitions involving platforms like Royal Navy vessels and NATO task groups. The program involved contractors and laboratories including Raytheon, Naval Surface Warfare Center, Office of Naval Research, and testing at ranges such as Autonomous Underwater Vehicle Test Range and facilities near Panama City, Florida.
Design and development of the system began as part of modernization efforts that drew upon research from Sperry Corporation-era sonar projects, work at Woods Hole Oceanographic Institution, and sensor concepts advanced at Scripps Institution of Oceanography. The prime contractor Raytheon partnered with system integrators who previously collaborated on programs like AN/SQQ-89 and AN/AQS-20A, leveraging algorithms developed by researchers at Massachusetts Institute of Technology and test data from Naval Research Laboratory. Development phases included live trials off ranges near Naval Station Mayport, cooperative experiments with Office of Naval Research’s demonstration initiatives, and interoperability testing with mission packages akin to those conceived under the Littoral Combat Ship program. Milestones were influenced by policy directives from U.S. Department of Defense acquisition reforms and funding cycles in Congress defense appropriations.
The system integrates an active high-frequency sonar array, towfish architecture, fiber-optic telemetry and onboard processing analogous to subsystems in AN/SQQ-32 and derived signal processors from Northrop Grumman projects. Key elements include a stabilized tow body, phased-array transducers, digital beamforming, and classification software using pattern-recognition techniques refined at Carnegie Mellon University and Johns Hopkins University Applied Physics Laboratory. Components were qualified to standards referenced by MIL-STD-810 and interfaces compatible with combat systems like Aegis Combat System and mission computing similar to suites employed on San Antonio-class amphibious transport dock. Power and mechanical systems drew on designs used in Mk 48 torpedo handling and shipboard launch equipment from General Dynamics facilities.
Operational evaluation began during sea trials with Littoral Combat Ship mission packages on deployments from ports including Naval Base San Diego, Naval Station Norfolk, and test events in conjunction with multinational exercises such as RIMPAC and NATO Exercise Dynamic-class maneuvers. The system supported mine countermeasure operations in littoral zones in collaboration with task groups under commanders previously assigned to U.S. Fifth Fleet and U.S. Fourth Fleet. Data from deployments fed analysis at Naval Surface Warfare Center Panama City Division and informed doctrine updates coordinated through Fleet Forces Command and allied staffs from Royal Australian Navy and Japanese Maritime Self-Defense Force liaison teams.
Variants evolved to fit different platforms and missions, with modifications resembling upgrades applied in programs like AN/AQS-20A’s retrofit efforts, and cross-compatible versions intended for integration on unmanned systems used by Bluefin Robotics and Teledyne Webb Research. Incremental blocks added features comparable to capabilities in Kingfisher-class systems and software suites influenced by machine-learning research at Stanford University and University of California, San Diego. Modular options allowed adaptation for carriage by towed arrays, autonomous underwater vehicles comparable to REMUS and deployment from helicopters akin to concepts used on Sikorsky SH-60 Seahawk trials.
The system was fielded on littoral combat ship mission packages similar to those installed on USS Coronado (LCS-4) and planned for use with unmanned surface vehicles and autonomous underwater vehicles developed by companies like Lockheed Martin and General Dynamics Mission Systems. Deployments often occurred aboard forward-deployed squadrons homeported at hubs such as Naval Base San Diego and Yokosuka Naval Base, and were compatible with logistics chains managed by Military Sealift Command and maintenance facilities at Norfolk Naval Shipyard.
In operational evaluations the system demonstrated detection and classification performance in cluttered littoral environments, yielding data comparable to legacy sensors employed on Avenger-class mine countermeasures ships and improvements over earlier towed sonar systems used in Operation Desert Storm mine-clearance operations. Capabilities included high-resolution imaging, operator-in-the-loop classification, and data fusion with command systems similar to those in Naval Integrated Fire Control-Counter Air experiments. Performance metrics were assessed against thresholds in standards shaped by Naval Sea Systems Command and reported in technical assessments by Office of Naval Research laboratories.
Future upgrade paths considered integration with autonomy frameworks championed by Defense Advanced Research Projects Agency initiatives and data analytics programs at MIT Lincoln Laboratory, including enhanced machine-learning classifiers and networked multi-platform coordination with unmanned systems from Austal USA and Huntington Ingalls Industries. Planned procurement and modernization tracked by Congress and overseen by Program Executive Office Littoral Combat Ships, with technology insertion roadmaps influenced by collaborative studies with allied agencies such as Defence Science and Technology Group and NATO Allied Maritime Command.
Category:Sonar systems