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.
Northrop Grumman is supporting counter-IED efforts in Australia under a new $329.89 million contract modification from US Naval Sea Systems Command.
The modification exercises options for Joint Counter Radio-Controlled Improvised Explosive Device Electronic Warfare (JCREW) Increment One Block One dismounted systems, mounted systems, mounted auxiliary kits, operational level spares, depot level spares and engineering support services.
Work will be performed in San Diego, California, and is expected to be complete by December 2022.
The contract modification includes FMS funding of $116.49 million for Australia, where the Joint Counter-IED and Joint Counter-Explosive Hazards programmes are in progress as part of Project Land 154 Phase 4.
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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.