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.
Hensoldt has developed NESIS 4000, a next generation naval identification-friend-or-foe system that allows for improved performance and ship survivability, the company announced on 2 April.
NESIS 4000 is based on active electronically scanning array (AESA) radar technology that allows the radar beam to be steered electronically, eliminating the requirement of a mechanically rotating antenna on top of the ship’s mast. Instead, the use of a non-rotating, ring-shape fixed-array antenna in a lower part of the ship’s integrated mast significantly reduces the radar cross-section and infrared signature of the vessel.
The AESA technology also increases radar performance. Compared to conventional systems, targets and eventual threats can be identified much more quickly, and the 360° detection range is widened to a 200 NM radius.
The first system will be delivered to the launch customer by end of 2019.
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.