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.
NATO’s Consultation, Command and Control Agency (NC3A) highlighted a series of ‘major opportunities’ soon to be available to member states during a meeting in Heidelberg, Germany, on 18 October.
The hit-list, according to the organisation, is designed to ‘underpin’ NATO’s new strategic concept to counter complex security challenges and amounts to approximately €1.47 billion in projects over the next two years.
Specifically, this includes investment in satellite communications (SATCOM); cyber security; missile defence; and ISR capabilities. The strategy is designed to enable the alliance to ‘counter modern security threats, further the transition strategy in Afghanistan, and undertake missions where and
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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.