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.
Following the completion of the evaluation and prototype demonstration phase for its new long-range radar programme, the US Air Force (USAF) is preparing for the downselect of one contractor to develop the ground-based radar.
The Three-Dimensions Expeditionary Long-Range Radar (3DELRR) programme office has completed evaluation of three prototype capability demonstrations, which were carried out during the pre-engineering and manufacturing development phase of the programme, USAF announced on 22 August.
An RfP for engineering, manufacturing and development (EMD), with an option for low-rate initial production, is anticipated to be released in September 2013, while the contract for the final EMD phase
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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.