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Deep Learning Algorithms Used for Counter-UAS Systems

Published: 27 May 2020 by

Citadel Counter-UAS system

Citadel Defense, a developer of full-spectrum counter-drone solutions, has released new software that uses deep learning neural networks to protect against hostile spoofing tactics. This capability will help U.S. and allied forces to fight against growing enemy tactics that attempt to confuse existing security intelligence equipment by using drone-based electronic warfare systems.

Citadel has integrated Generative Adversarial Networks into its Titan C-UAS (counter unmanned aerial systems) solution, using proprietary image generation algorithms to develop discrimination classification models that help determine whether detected signals are real drones, or signals generated for the purpose of tricking existing signal intelligence equipment.

As the use of drones and unmanned surface vessels (USVs) increases in battlefield environments, Citadel is rapidly equipping militaries and governments with cutting-edge capabilities to stay ahead of weaponized drone threats. Recently, Citadel has trained over 500 military and law enforcement operators on emerging adversarial threat tactics and Titan technology. Over 100 Titan systems in the field are being updated with the company’s latest software release.

Christopher Williams, CEO of Citadel Defense, commented: “Just like anti-virus programs have methods to detect software exploits, Titan has automated methods that proactively defend against spoofing exploits. Adding new deep learning capabilities to Titan helps blind the drone-equipped enemy and deny them any advantage or safe haven in contested and complex radio-frequency environments.”

“At Citadel, our solution design principles are providing comprehensive, scalable, intuitive, mission-proven and AI-powered capability with unprecedented speed to the customer.”

Find manufacturers of Counter-UAS Technology >>

Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact

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