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.
Cambridge Pixel has added dual redundancy to its SPx Tracking Server to support high-reliability radar tracking, the UK-based company stated on 13 May.
The upgrade will prevent system failures by offering two processing paths for radar data with automatic switching between them.
It has been designed to support developers of high reliability or remote systems used in maritime and coastal surveillance applications which may include unmanned radars in inaccessible areas.
David Johnson, CEO of Cambridge Pixel, said: ‘We can now provide customers that demand high reliability with the built-in capability to switch processors in the event of a system failure. This means that the receiving client sees a single consistent and uninterrupted stream of radar and target track data.’
The company has previously provided radar technology for use in naval, air traffic control, vessel traffic, commercial shipping and ISR.
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.