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.
FLIR Systems has received an order worth $74.7 million to deliver TacFLIR surveillance cameras in support of the US Army's EO/IR-Force Protection (FP) programme, the company announced on 2 October.
Deliveries will begin in 2017 and be complete within one year.
The EO/IR-FP programme provides enhanced perimeter security and force protection for US troops stationed worldwide, such as Iraq and Afghanistan.
FLIR Systems has previously delivered FLIR Ranger radars for the same programme.
Jim Cannon, CEO and president of FLIR, said: ‘This programme highlights our ability to rapidly deploy our technology for critical missions and underscores FLIR's commercially developed, military qualified approach.’
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.