Satellite Communication System Modelling with MATLAB and Simulink
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Satellite Communication System Modelling with MATLAB and Simulink
Tue, 30/04/2024 - 09:30 to 14:00
Location:
Speaker:
Nadia Shivarova
Affiliation:
MathWorks
Synopsis:
MATLAB and Simulink Seminars @ ISSS
Please register to attend - https://uk.mathworks.com/company/events/seminars/satellite-communication...
In recent years the cost and time to send satellites to space has plummeted and investment in the satellite industry has seen a huge increase. This year, the UK Space Agency alone has announced £50 million in funding. Nevertheless, there are challenges in designing and operating satellites and satellite components. MathWorks tools enable adoption of a model-based design which can save time and cost by providing off-the-shelf implementations of satellite communication systems and production auto code generation.
In this networking seminar, you will learn about how MATLAB® and Simulink® can be used to model large satellite constellations, baseband waveforms and RF components. We will also cover the link to NTN and NBIoT. In addition, we will touch upon the deployment of code to hardware and the application of AI in the future. We look forward to learning about your applications and engineering problems.
Highlights
Satellite orbit propagation
RF modelling for satellite transceivers
AI for signal processing
Who Should Attend
Systems Engineers, Satellite Payload Engineers, Wireless Communications Engineers, RF Engineers, Team Leaders, Researchers & PhD students with an interest in communications and signal processing
Biography:
Nadia Shivarova (MathWorks) is a senior application engineer at MathWorks. They specialize in supporting customers in the consumer electronics, semiconductor, aero-defense and space industries in modelling and simulation of wireless systems from DSP algorithm design to hardware implementation on FPGAs. Recent interests include satellite technologies like NTN, and application of AI to wireless. They hold a MEng in Electronic and Electrical engineering from the University of Strathclyde, Glasgow.
George Amarantidis received his PhD in Control Systems from the school of Engineering at the University of Birmingham and an MEng in electrical and electronic engineering from Loughborough University. His research interests include adaptive control, signal processing, physical modelling, predictive maintenance, and AI for time-series analysis. Currently, he works in the education team for MathWorks and predominately supports universities and promotes collaboration between universities and industry and to ensure students' skills are aligned with industry demands.
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