Ground-to-Air Radio Systems

Trusted Globally For Reliable Ground-to-Air Communications

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Our Air Traffic Control (ATC) radios provide clear and reliable ground-to-air communications to meet the dynamic communication requirements of air traffic control centers, commercial airports and military air stations and range installations.

Featured Radios

We have delivered over 20,000 radios to support VoIP global standards for the National Airspace System (NAS). Our radios have become the preferred choice of the FAA and DoD to replace legacy radios.

General Dynamics URC-300 Transceiver

URC-300 Line-of-Sight Transceiver

Our new URC-300® line-of-sight transceiver is smaller and lighter than the URC-200 with significantly improved RF performance. The URC-300 is 25kHz and 8.33kHz ETSI Compliant to provide clearer communications in congested environments and was recently selected by the FAA for their emergency air traffic control communications.

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CM-300/350 Air Traffic Control Radios Carousel 1

CM-300/350 (V2) Air Traffic Control Radios

Our CM-300/350 (V2) radios provide advanced and network-ready ground-to-air communications to the FAA and DoD. Based on FAA NEXCOM Segment 2 requirements, the radios provide reliable, clear and uninterrupted communications to improve the safety of flight in the National Air Space (NAS).


General Dynamics to Provide FAA with Emergency Backup Radios

The Federal Aviation Administration (FAA) has chosen General Dynamics to provide URC-300E® transceivers for their Emergency Transceiver Replacement (ETR) program. The radio will provide Very High Frequency (VHF) and Ultra High Frequency (UHF) operation for air traffic control communications in the event of a catastrophic failure.


The General Dynamics CM-300 series ATC radios have had a profound effect on our ability to communicate.

Reliable, clear, dynamic.

Gary Westfal, Senior Program Manager
Air Traffic Control Requirements and Resources, USAF Special Operations Command

Proven Counter-Drone Technology

The Dedrone system combines best-in-class sensors and effectors with machine learning software to detect and defeat the growing threat posed by unmanned aerial systems.

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