News & Media

Press Releases

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    GA-ASI Avenger ER Receives FAA Experimental Certificate

    GA-ASI announced that its company-owned Avenger ER achieved a company milestone as it received an FAA-issued Experimental Certificate (EC) enabling the “Extended Range” Avenger to perform expanded operations in the U.S. National Airspace System.

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    GA-ASI’s New Centerline Avionics Bay Increases MQ-9A Capability

    “The Centerline Avionics Bay was purpose-built to provide additional volume, platform infrastructure, and cooling provisions for integrating High Performance Computing (HPC) systems on MQ-9 Block 1 and Block 5 RPA,” said GA-ASI Vice President of Strategic Development J.R. Reid.

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    GA-ASI and GKN Aerospace Expand Strategic Relationship

    “We are pleased to expand this relationship with composite structures manufactured in the UK. This will mean that not only the RAF’s Protector will have UK-manufactured tails, but the global MQ-9B fleet will also benefit from tails manufactured in the UK,”  said Tommy Dunehew, vice president of International Strategic Development for GA-ASI.

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    GA-ASI Launches SkyGuardian Global Support Solutions

    SkyGuardian® Global Support Solutions (SGSS) provides operators with reduced lifecycle costs and low risk by providing a guaranteed full-sustainment solution that allows for maximum system availability, commonality, and access to crew training at an affordable cost-per-flight-hour.

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    GA-ASI Plans to Demonstrate Maritime Capability in UK

    GA‑ASI announces its plan to take a company-owned SkyGuardian Remotely Piloted Aircraft to the United Kingdom later this year to undertake a series of operational capability demonstrations for NATO allies, including the Netherlands.

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    GA-ASI Successfully Completes Self-Protection System Demo on MQ-9

    During the testing, the MQ-9 was able to successfully track Radio Frequency (RF) and Infrared (IR) missile threats, deploy countermeasures, and provide real-time threat awareness and protection in a simulated contested environment.

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    Raytheon Intelligence and Space Maritime Surveillance Systems Flight Tested on GA-ASI SeaGuardian for Japan Coast Guard

    “Our advanced intelligence, surveillance and reconnaissance solutions can aid the Japan Coast Guard to perform their duties effectively in alignment with Japan’s maritime security priorities,” said Barbara Borgonovi, vice president of Intelligence, Surveillance and Reconnaissance Systems for RI&S.

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    GA-ASI Completes Unmanned Aircraft Anti-Submarine Warfare Demonstration of Sonobuoy Dispensing and Remote Processing

    General Atomics Aeronautical Systems, Inc. (GA-ASI) recently completed development and test of the world’s first self-contained Anti-Submarine Warfare (ASW) capability for an Unmanned Aircraft System (UAS).

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    Leonardo Seaspray AESA Maritime Radar to be Integrated on GA-ASI SeaGuardian

    GA-ASI is working with Leonardo to integrate the Leonardo Seaspray 7500E V2 radar into the centerline radar pod of its MQ-9B SeaGuardian. The integration of this market-leading radar will enable persistent maritime ISR and is available to our international customer base.

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    GA-ASI Integrates Legion Pod Onto Avenger RPA

    In a recent flight test, GA-ASI integrated a Lockheed Martin Legion Pod® onto an Avenger Remotely Piloted Aircraft (RPA) demonstrating enhanced autonomous sensing capabilities for an unmanned aircraft.

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    GA-ASI Demonstrates BLOS Command and Control Over HF Using MQ-9

    GA-ASI completed the first Beyond Line of Sight (BLOS) High Frequency (HF) Command and Control (C2) demonstration for an Unmanned Aircraft System (UAS). The HF C2 capability does not require a Satellite Communications (SATCOM) link and is capable of providing BLOS connectivity up to 8,000 miles, depending on transmit power and link geometry.

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    GA-ASI Selected for Skyborg Vanguard Program

    GA-ASI has been selected by the Air Force Life Cycle Management Center (AFLCMC) to support the Skyborg Vanguard Program. Skyborg will become the foundation of Artificial Intelligence (AI)/Machine Learning (ML) autonomous capabilities for a family of future USAF unmanned combat aerial vehicles.