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.
Telephonics Corporation has been awarded a $22.8 million contract from Huneed Technologies for its AN/UPX-44 Identification Friend or Foe (IFF) system, the company announced on 8 August.
The system will support Republic of Korea naval modernisation programmes.
Telephonics' next generation AN/UPX-44 will include Mode 5 capabilities allowing for expanded data handling transmissions without increasing interference.
Kevin McSweeney, Telephonics president, said: ‘The AN/UPX-44 is part of a family of IFF systems that is ready to meet the demands of the Republic of Korea Mode 5 naval modernisation programme. As we continue to grow our global presence, we are proud to be partnered with Huneed Technologies and look forward to supporting future pursuits together.’
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.