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.
ECA Group will supply degaussing systems and magnetic ranging systems to an unnamed Asian military under a €7 million contract announced on 27 February.
Degaussing systems reduce the magnetic signature of submarines and surface ships; while magnetic ranging systems measure the vessel's magnetic signature.
ECA will supply its Sterna magnetic ranging system under the contract, a solution that combines an IT180 UAS and an embedded magnetometer and its digitizer. The UAS flies over the vessel to measure the ship's magnetic field using a magnetic sensor payload. The data is then analysed and degaussing parameters are computed.
Together these systems improve the efficiency of the vessel's signature reduction system, reducing vulnerability against underwater mines and enemy detectors.
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.