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 has been awarded a contract to support the US Army Geospatial Center's (AGC) High-Resolution, 3-D (HR3D) Geospatial Information programme, it was announced on 19 September.
The order has a one-year base period of performance and includes four one-year options, which if exercised could take the total contract value to $777 million.
The contract will see Leidos collect, process, disseminate, store and maintain HR3D geospatial information. This will include conducting airborne and terrestrial collection operations, processing the information and producing geospatial products for operational areas. The company will use a high velocity aircraft platform integrated with advanced Light Detection and Ranging (LIDAR) sensor technology for the collection process.
The AGC programme aims to address a critical gap for high-resolution mapping products covering the majority of the undeveloped world, as insufficient unclassified HR3D geospatial information limits the ability to engage with other nations effectively.
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.