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.
Safran Electronics and Defense will supply the Sigma 30 system to an unnamed customer under a contract announced on 18 November.
The contract will see several dozen Sigma 30 systems supplied for the customer’s mobile counter-battery radars.
The Sigma 30 navigation and pointing system is designed to be integrated into mobile radar systems to accurately and quickly determine the precise location of enemy batteries as soon as it detects any firing. Developed to optimise the operational deployment of artillery units and their intelligence systems, Sigma 30 gives combat platforms an autonomous engagement capability, even when there are no GPS signals.
The system can be used with a wide range of artillery, including ground survey vehicles, ground and surface-to-air artillery batteries (Caesar, 2R2M, Archer, PzH2000, Mars II, VL MICA) and their associated radars.
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.