Qoherent Inc.
Machine learning based beamforming algorithms for satellite communications — The project involves the exploration, prototyping, and testing of machine learning (ML) beamforming techniques. A testbed will be built to train and test models for inferring Angle of Arrival (AoA) and Angle of Departure (AoD) on a phased array antenna system. The models will be trained with design requirements applicable to a satellite and ground equipment context. The system will demonstrate a method where automatic, independent, and passive system self-configuration for optimal operation between satellite and ground equipment. The resulting technology could establish robust, secure, and high throughput access in previously inaccessible areas.