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.
Vision Systems International (VSI) has announced that it has been awarded a contract for the delivery and engineering support of Night Vision Cueing Display (NVCD) systems by the Joint Program Office for US Air Force-US Navy. The LRIP-2 contract will see the delivery of 100 NVCD systems by November 2013.
The award will see VSI's NVCD technology integrated into all domestic Joint Helmet Mounted Cueing System (JHMCS) platforms for use aboard US Air Force F-15, F-16, and US Navy F/A-18 JHMCS-equipped aircraft.
This new contract is an extension to a $3.8 million NVCD LRIP-2 logistics contract awarded to VSI in September 2011. Under the LRIP-2 contract VSI is modifying the HMD test set to accommodate additional NVCD capability as well as providing support.
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.