Small, Expendable Unmanned Aircraft System
The Coyote® unmanned aircraft system is an expendable system that's deployed from an A-size sonobuoy tube or Common Launch Tube to perform intelligence, surveillance and reconnaissance missions while the host aircraft remains in safe airspace.
It's designed to handle reasonably large accelerations during launch, a critical feature for all tube-launch applications. Also, the Coyote UAS is ideal for improved surveillance imagery, enhanced targeting capability, near real-time damage assessment and reduced threat to manned aircraft.
In a series of 2016 demonstrations conducted on land and at sea, over two dozen Coyote systems successfully launched in a swarm and moved in formation, demonstrating the effectiveness of autonomous networking. The swarming capability can be applicable in multiple missions, from ISR activity to strikes against moving targets in a battlefield environment.
The affordable Coyote UAS meets current P-3 mission requirements and is developed and tested to save lives, reduce operational costs and provide tactical surveillance data.
The system will operate up to one hour and is designed for interchangeable payloads. It is used by the National Oceanographic and Atmospheric Administration for hurricane tracking. NOAA successfully deployed six Coyote systems from a hurricane hunter into the eye of Hurricane Maria in 2017. Navigating Maria's winds of greater than 100 miles per hour, the Coyotes gathered and transmitted storm information directly to the National Hurricane Center.
The Coyote UAS has completed flight tests for multiple U.S. government customers and demonstration programs. Additionally, tube launch development is underway for land- and ship-based applications.
• Low-cost, expendable UAS
• Performs surveillance imagery, targeting capability and real-time damage assessment
• Designed to save lives and reduce operational costs
• Suitable for targeting assistance, perimeter security and research missions
Raytheon’s ‘Coyote’ gathers critical hurricane data