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BAE Systems Awarded US Army Contract to Provide Limited Interim Missile Warning System (LIMWS)

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BAE Systems Awarded US Army Contract to Provide Limited Interim Missile Warning System (LIMWS)

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BAE Systems Awarded US Army Contract to Provide Limited Interim Missile Warning System (LIMWS)
BAE Systems Awarded US Army Contract to Provide Limited Interim Missile Warning System (LIMWS)

The U.S. Army, on Aug. 24, 2021, has awarded BAE Systems an indefinite delivery/indefinite quantity (IDIQ) contract to provide life-cycle sustainment and technical support to the Limited Interim Missile Warning System (LIMWS) program. The 10-year contract has a ceiling value of $872 million. BAE Systems’ 2-Color Advanced Warning System (2CAWS), the missile warning system developed under the LIMWS program, builds upon the company’s experience in fielding systems for the complex rotary-wing environment.

“Our aircrews who fly into harm’s way need the most advanced protection systems available,” said Chris Austin, director of Threat Detection Solutions at BAE Systems. “This support and sustainment award will afford us the agility to best serve our customer’s needs.”

2-Color Advanced Warning System (2CAWS)
2-Color Advanced Warning System (2CAWS)

Key features
Designed for harsh rotary- and fixed-wing environments
2-color IR sensors quickly and accurately detect targets
Fully integrated with existing countermeasure systems
System design targets size, weight, and power (SWaP) needs for U.S. Army aircraft
The system processor is built to MOSA standards
Low false alarm rate

2CAWS is compatible with existing U.S. Army aircraft survivability equipment, including pilot interfaces and countermeasure systems, allowing for accelerated installation and integration timelines. Optimized for size, weight, and power, 2CAWS features an open system processor, two-color infrared sensors for increased range, and a fiber optic A-kit for faster data transmission. The system processor serves as the high-bandwidth digital backbone of the system and houses advanced machine learning missile warning algorithms specifically designed for complex, high-clutter environments and rapid threat updates.

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