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.
Singapore's DS-SAR satellite launched on 30 July. (Photo: ISRO)
Tests have begun on an IAI DS-SAR satellite built for Singapore's military and commercial use which was launched and entered orbit on 30 July and transmitted the first data to the ground station. It will be handed over to its Singaporean customers at the end of testing.
The DS-SAR satellite builds on IAI’s experience in developing observation satellites such as OptSat and TecSAR, which have been developed in new generations for 35 years. The synthetic aperture radar sensor payload is designed to enable the collection of a wide range of data, in terms of both coverage and resolution, day and night, and under all weather conditions.
The satellite will be used for maritime surveillance with the Singapore Ministry of Defence’s Defence Science and Technology Agency and provide commercial services through ST Electronics alongside TELEOS 1 Earth observation.
RAF launches advanced video imaging satellite
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.