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Anti-drone sensors that use radar or cyber takeover tactics may be limited by ground clutter or responsiveness to new threats. A new AI/machine-learning software will enhance a counter-drone technology.
Citadel Defense has launched the technology for its Titan array as an addition to it’s counter-drone technology. Having this capability effective across fixed, mobile, and dismounted operations is a disruptive technology that meets the doctrinal needs of the US military, the company claims.
The platform’s open architecture ensures that the breadth of capability and protection offered by the Titan can be integrated into any layered system purchased by U.S. military, government, or commercial customers.
The AI and machine learning algorithms help military and security teams address challenges that legacy electronic warfare and most C-UAS systems fail to address, the company claims.
Cognitive technologies including robotic process automation, AI, and deep learning have been used in the development process, and models were refined by end user and environmental feedback.
“[Titan’s] ease of use coupled with the fact that it can operate in environments where communications are critical, like major cities, airports or aboard large ships, provide users with a flexible solution for many missions,” the company’s CEO Christopher Williams said.
“Citadel’s escalating countermeasure approach is a unique advantage for customers because it can effectively detect, identify, and defeat drones with limited collateral affects to other important signals like Wi-Fi and Bluetooth communications.”
In December, the company completed a six-month deployment of its anti-drone solutions for three undisclosed federal agencies.
A cooperation with the U.S. Air Force in September focused on the protection of military assets from drone assaults on the heels of an attack on Saudi oil assets – partially by drone, according to dronelife.com.