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 army of an unnamed country in South Asia will be equipped with vehicular tactical radio systems by Elbit Systems, the company announced on 26 May.
The radios will be supplied in several configurations for integration onboard a range of armoured fighting vehicles and tanks at the battalion and company levels.
The contract is valued at $127 million.
Bezhalel Machlis, president and CEO of Elbit Systems, said: ‘We are pleased with this contract award which shows that customers recognise the advantages of our radio systems.
‘We believe that there is a significant growth potential for our communications and command and control solutions as armed forces increasingly seek to build up their networked warfare capabilities.’
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.