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.
DroneShield has released its newest next-generation body-worn drone detection device, the RfPatrol MKII.
The MKII is 40% smaller than the first model which was released in May 2019. It also weights just 800g (including the battery) and has other enhancements which had been requested by the end user following in-field deployments.
Oleg Vornik, CEO of DroneShield, said: ‘The product is future-proof, being compatible with additional drone frequency channels which will be enabled with future software releases.’
‘As with our other counterdrone products, customers receive regular software updates of threat databases which can be deployed on the devices remotely in the field in a secure manner’ Vornik continued.
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.