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.
Royal New Zealand Navy ANZAC-class ship HMNZS Te Kaha. (Photo: US DoD)
Phase two of the Frigate Sustainment - Communications project follows SEA's successful completion of the first phase, including the system's design.
SEA's bespoke system is designed to reduce through-life costs and associated maintenance of the ANZAC-class frigates' new communications capability.
SEA MD Richard Flitton said: 'A ship's communications are integral to any successful mission, and our flexible surface ship system will allow the Royal New Zealand Navy to communicate effectively and securely with partners while also reducing maintenance and associated costs.
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'Having completed the design of the system, we're now fully focused on bringing it in to service over the coming years.'
The flexible and modular system enables the New Zealand Navy to integrate equipment such as cryptos and radios regardless of the manufacturer.
With an open architecture, it also meets interoperability requirements.
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.