As the world becomes increasingly connected, the demand for faster, smarter satellite communications continues to grow. That’s why CGI, in collaboration with Goonhilly Earth Station (GES), is driving innovation in signal optimisation – using machine learning to deliver meaningful outcomes.
Enhancing performance with AI-driven outcomes
In a recent live demonstration at GES, we showcased our Receiver Chain Optimisation (RCO) capability – a machine learning solution designed to improve how antennas receive signals. RCO is an AI-powered software layer that integrates with existing hardware to enhance performance and supports the development of smaller, lighter, and more energy-efficient space systems.
Maximising existing infrastructure
RCO uses machine learning to analyse real-time signal data, identifying and correcting distortions to improve reception clarity and reliability, without increasing the hardware footprint.
This capability delivers measurable benefits across the space and defence sectors: extending ground station lifespan, reducing power consumption in mobile systems, and enabling more compact hardware for space missions. RCO helps organisations push the boundaries of what's currently possible.
Demonstrating real-world value
At our joint event with GES, clients and collaborators experienced RCO in action. We delivered a live demonstration, shared the technical underpinnings and business case, and explored the historic Goonhilly site – a landmark in UK satellite communications.
Feedback confirmed RCO’s proven value, it could enable outcomes across commercial operations, research programmes, and national infrastructure.
Looking ahead
We continue to develop how software-led approaches like RCO can transform satellite ground systems. It’s about unlocking greater performance from today’s infrastructure and enabling a transition towards smarter, more sustainable communications for the future.
Learn more
If you’d like to explore more on what we do for satellite operators visit our satellite communications page.