Neuromorphic RF sensing and processing

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The aim of this project will be to investigate neuromorphic solutions in RF sensing at both hardware and software level. The main objectives of the project will be:- To become familiar with fundamental concepts of radar principles and RF sensing systems.- To become familiar with fundamental concepts in the field of AI and ML, with a particular interest in sensing systems.- To identify constraints and training requirements for SNNs when dealing with RF data;- To identify and design brain inspired passive RF sensing modes to generate spiking outputs;- To design and develop novel NM/SNN frameworks, for RF systems, based on simulated and real data.- To validate the developed framework on real data provided by Leonardo and acquired at the SSP&S labs.- To devise a testing strategy to evaluate and demonstrate the performance of the novel NM/SNN models and techniques developed, and compare performance with traditional processing methods.- To investigate the experimentation with Neuromorphic hardware of the developed solutions;- To disseminate outcomes from this research, in world leading journals and conferences.