US Space Force increases efforts to plug training capabilities gaps
The service has been seeking simulation and emulation solutions capable of reproducing multiple in-orbit threats.
The Air Defence radar unit of the Russian armed forces’ Eastern Military District (EMD) has practised detection of air targets using the new Sopka-2 radar array complex deployed on Wrangel Island, the Russian Ministry of Defence announced on 27 October.
The Sopka-2 system has been designed to receive and analyse air traffic and airspace data, and is capable of identifying each aircraft flying in a group.
The unit performed missions to identify and locate coordinates of targets simulating enemy aircraft, as well as receive, process and analyse data on the air situation in the zone of responsibility.
The unit received data transmitted by airborne transponders on the aircraft and also measured distance, azimuth and altitude of air targets.
The service has been seeking simulation and emulation solutions capable of reproducing multiple in-orbit threats.
The service has been conducting several acquisition and upgrading efforts involving artificial intelligence and machine learning to improve communication, data analysis and ISR systems.
The Syracuse 4B communications satellite, developed by Airbus and Thales Alenia Space, was launched last year, bolstering secure military satellite communications for the French Armed Forces. Thales has now been selected to provide terminals for vehicles.
The growing importance of space in modern warfare, advancements in satellite technology, and increasing threats from rivals like China and Russia were among the topics of a Eurosatory 2024 panel on military space operations.
AN/ARC-232A is a Starfire radio that provides VHF/UHF communications to airborne platforms and the transceiver is software-programmable, allowing for multiple waveform support as well as optional national electronic counter counter-measure (ECCM) capability.
During the 18-month period of the contract, Lockheed Martin will apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to create surrogate models of aircraft, sensors, electronic warfare and weapons within dynamic and operationally representative environments.