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General Atomics Aeronautical Systems, Inc

Physical & Virtual Avenger UAVs Demonstrate Autonomous Search & Follow

By Caroline Rees / 28 Feb 2022
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As part of the company’s commitment to develop advanced unmanned autonomy, General Atomics Aeronautical Systems, Inc. (GA-ASI) used a company-owned Avenger Unmanned Aerial Vehicle (UAV) and five hardware-in-the-loop synthetic Avengers to autonomously search and follow an artificially-generated adversary. 

The live-virtual swarm utilized a simulated Infrared Search and Track (IRST) sensor network in addition to the government-furnished CODE autonomy engine to accomplish the mission.

The live Avenger was commanded into a search mission with the five simulated Avengers during the two-hour flight over the high desert of southern California. Once the simulated adversary entered the designated search area, the team of Avengers would decide, utilizing an Artificial Intelligence / Machine Learning (AI/ML) algorithm, which aircraft would autonomously break from the search-loiter and perform complex behaviors to show closed loop, air-to-air tactics.

“The flight demonstrated GA-ASI’s unique ability to deploy autonomy using a blend of simulated threats, real-world sensors, and live aircraft,” said GA-ASI Senior Director of Advanced Programs Michael Atwood. “GA-ASI’s robust autonomy pipeline provided seamless digital environments, UAV digital twins and machine learning to validate unmanned aircraft closing complex kill chains. This framework allows the Department of Defense (DoD) to rapidly transition next-generation, operationally relevant air-to-air warfare technology from the lab to the battlespace.”

The Avenger UAV integrated a ZPX-R ADS-B and Mode 5 Level 2 receiver provided by uAvionix. The low Size, Weight, and Power (SWAP) sensor allowed the platform to track active aircraft within the local airspace. In addition to the live ADS-B/Mode 5 L2 sensor tracks being downlinked, the Advanced Framework for Simulation, Integration, and Modeling (AFSIM) software simulated two separate types of IRST sensors (situational and long-range). This allowed the multi-physics sensor network to downlink into the Common Operating Picture (COP) running on a government standard Human-Machine Interface. To complement the live-flying sensor suite, the Avenger also operated with All-Source Track and Identity Fuser (ATIF), a government-owned Multi-Physics Fusion engine.

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Posted by Caroline Rees Caroline co-founded Unmanned Systems Technology and has been at the forefront of the business ever since. With a Masters Degree in marketing Caroline has her finger on the pulse of all things unmanned and is committed to showcasing the very latest in unmanned technical innovation. Connect

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