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 US Army will use primary, alternate, contingency and emergency (PACE) software to automatically select the best path for critical traffic on a tactical communications network. The goal is to ease network congestion and to outflank electronic attack, with the software automatically detecting and selecting channels or pathways where there may be less congestion, or which have remained untouched by jamming.
This is essential to ensure that any disturbance to deployed networks is minimal at best. According to Sunil Samtani, vice-president of Perspecta Labs, ‘PACE will automate the reconfiguration of radios dynamically to overcome interference events’.
PACE is highly
Already have an account? Log in
Get access to this article with a Free Basic Account
Access to all our premium news as a Premium News 365 Member. Corporate subscriptions available.
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.