P2.41s Interference modelling, detection and mitigation for improving spaceborne SAR performance

This research project aims to investigate interference topic in modern spaceborne SAR systems. It will construct a modelling framework to capture terrestrial interference using both analytic tools from stochastic geometry and simulation tools. It will then develop novel machine learning methods to detect interfering regions in reflected SAR signal based on both training samples, supervised and unsupervised learning methods. The research will thus develop interference mitigation techniques that will enhance SAR observation under the increasingly crowded radio spectrum.