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MIND’s ‘Sea Serpent’ Completes Autonomous Anti-Sub Demonstration at US Navy Exercise

Columbia-class ballistic missile submarine. Photo: US Navy

MIND Technology demonstrated the capabilities of its “Sea Serpent” low-cost anti-submarine warfare (ASW) system at the US Navy’s Coastal Trident 2022 maritime exercise.

During the demonstration, Sea Serpent was deployed from an unmanned surface vehicle (USV) and operated autonomously to detect a realistic underwater target.

“We are incredibly pleased with this successful demonstration from our Sea Serpent ASW system,” MIND President and CEO Rob Capps said.

“We believe this illustrates the versatility of our technologies and our ability to adapt our existing technology to new and unique applications.”

“The primary aim of this experiment was to demonstrate that the Sea Serpent is a viable ASW product that can be rapidly, easily, and reliably deployed from a small USV.”

MIND’s Sea Serpent

Sea Serpent’s intelligence, surveillance, and reconnaissance capabilities enable it to operate for maritime domain awareness, harbor security, and other ASW-related missions.

Sea Serpent Towed Arrays. Photo: MIND Technology

Sea Serpent is based on MIND’s SeaLink streamer technology commercially developed for seismic surveys.

The ASW system works as a ‘clip-on’ capability that can be deployed from existing light and medium-weight USVs.

The system’s towed arrays are modular and scalable, covering 50 meters (162 feet) to more than 12,000 meters (40,000 feet) of acoustic aperture.

Sea Serpent’s processing uses a scalable, app-based architecture with broadband, narrowband/low-frequency array, or detection of envelope modulation on noise beamforming options.

Other apps for Sea Serpent deployment include automatic detection and tracking and target motion analysis.

“We intend to take what we learned from this exercise to continue improving the Sea Serpent system, and we’re confident that this will represent a significant utility to the US and other allied navies in the future,” Capps said.

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