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RAYTHEON'S KURFS AND COYOTE DETECT AND DEFEAT UAS TARGETS DURING U.S. ARMY SUMMER TEST PERIOD

Raytheon's Ku-band Radio Frequency Sensor, known as KuRFS, and the Coyote® family of effectors provide the essential detect and defeat capabilities of LIDS, the Army's go-to counter-drone solution.

RAYTHEON'S KURFS AND COYOTE DETECT AND DEFEAT UAS TARGETS DURING U.S. ARMY SUMMER TEST PERIOD

Raytheon successfully demonstrated the capabilities of the Low, slow, small-unmanned aircraft Integrated Defense System, or LIDS, during the U.S. Army's annual summer test period. Joining U.S. Army officials were representatives from a number of international allied ground forces who attended to witness the test events firsthand.

The persistent, 360-degree KuRFS radar excelled in a stress test successfully detecting and tracking a complex swarm of more than 30 unmanned aircraft vehicles. Coyote defeated several targets, singles and swarms, demonstrating reduced engagement timelines to defeat multiple threats. The tests validated the recent hardware and software enhancements made to both systems, to optimize capability and performance.

International interest in the systems is high, with several allied countries requesting information and briefings. The U.S. Army is currently bolstering its counter-drone defences with LIDS, awarding Raytheon an October 2022 contract to equip two Army divisions with LIDS, followed by a contract for an additional quantity of fixed site and mobile LIDS systems awarded earlier this year to further support the U.S. Army's Central Command. A third contract was recently awarded, intended to equip a third Army division.

Raytheon has developed the enabling technologies, as well as complete and customizable systems, that enable military and civilian customers to defeat complex UAS threats in any environment. The company has developed integrated, high-performing sensors and cost-effective kinetic and non-kinetic effectors that allow customers to select the right effectors against a range of threats and defeat threats more efficiently.

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