Remotely Piloted Aircraft Systems (RPAS).
The main objective of this project is to research and design new Reinforcement Learning, Deep Learning and Distributed Logging Technologies for the construction of a modular platform for the prediction, simulation and detection of threats in Remotely Piloted Aircraft Systems (RPAS), as well as the generation of flight and mission models for the progressive and adaptive training of pilots.
The main result of the project will be a platform based on a modular and scalable architecture capable of connecting to existing simulator systems, allowing the transfer of RPAS control in a distributed way and on which modular layers will be integrated for the generation of flight models, missions and threats.
SGoSat is a family of high-tech SOTM (Satellite Comms On The Move) terminals that are installed in a vehicle, providing the ability to target and maintain a stable connection to the satellite when the vehicle is in motion in any type of conditions.
The SGoSat family is composed of versatile terminals, which can be installed on any type of platform: trains and buses, military and/or government vehicles, aircraft, ships, etc. Originally designed for the military sector, SGoSat terminals are extremely reliable and robust, integrating high-performance components that comply with the most stringent environmental and EMI/EMC regulations. The product uses low-profile, high-efficiency antennas and a high-performance positioning and tracking unit, allowing the terminal to be operated anywhere in the world.
In order to meet the diverse needs of its customers, INSTER has developed single band and dual band terminals in X, Ka and Ku frequencies.
The SGoSat family of terminals can also be configured with a wide range of radomes (including ballistic options) to suit customer requirements.