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.
Bittium will continue porting the European European Secure Software-defined Radio (ESSOR) programme’s Operational Capability 1 (OC1) wideband waveform to the Bittium Tough SDR radio for the Finnish Defence Forces under an order announced on 17 February.
The €1.6 million order is a continuation to the ESSOR waveform porting order received in 2019, proceeding the work from design phase to implementation phase.
Porting the waveform to the national software-defined radios enables compatibility between radios used in European coalition operations, in accordance with the goals of the ESSOR programme.
The ESSOR OC1 phase aims to enhance the operational capabilities of the ESSOR High Data Rate Waveform (HDR WF) designed for international joint operations. The Bittium Tough SDR products can use the most suitable and best performing waveform, such as the ESSOR HDR Waveform, Bittium TAC WIN Waveform and Bittium Narrowband Waveform, in order to improve compatibility and enable operations on different levels and missions.
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.