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.
Leidos is working on a $9.96 million contract from US Naval Information Warfare Systems Command to provide support for ‘active and passive sonar systems necessary to provide mobile undersea acoustic surveillance capabilities’, the DoD announced on 22 April.
The company will complete work on the contract by February 2022.
Almost 10% of the total contract value is covered by FMS funding. Although the DoD did not divulge the name of the systems or the identity of the non-US customer or customers, 84% of the work will be carried out in Yokohama, Japan.
Leidos is already providing Transformational Reliable Acoustic Path System (TRAPS) prototype units to the USN in a $73 million contract due for completion in 2022.
Leidos originally developed TRAPS under a DARPA contract awarded in 2014.
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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.