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.
UK-based MARSS Group on 12 October announced it has added multiple undisclosed kinetic countermeasures and a UAV classification function to its NiDAR AI C-UAS solution.
As a result, users will be able to detect, jam ‘and if necessary, destroy life-threatening unmanned aerial vehicles’ in seconds, the company claimed.
MARSS will be demonstrating NiDAR AI with these capabilities throughout October.
With a multi-layered approach, the NiDAR system is capable of detecting tactical UAS from distances of more than 15km, MARSS claims.
The system combines radar, RF detection and EO cameras to identify threats and trigger responses.
AI integration allows the system to learn from experience, MARSS added.
NiDAR is also used in the maritime sector to detect divers, underwater vehicles and small fast-moving surface intruders. The system integrates short- and long-range surveillance with deterrents into a single intelligent domain awareness picture.
As part of our promise to deliver comprehensive coverage to our Defence Insight and Premium News subscribers, our curated defence news content provides the latest industry updates, contract awards and programme milestones.
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.