Carlo Tortoriello
Opportunistic RIS-Aided WiFi Imaging in Smart ElectroMagnetic Environments.
Rel. Giuseppe Vecchi. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
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Abstract
Imaging and object detection at Radio Frequency refers to a set of techniques that aims to reconstruct extended or point-shaped objects from a set of complex measurements performed at radio frequency. The system to be investigated uses Reflective Intelligent Surfaces(RIS), which actively interact with the environment to improve RF imaging resolution. Each panel is made of many programmable cells. The RIS exhibits the breaking-through capability of coherently combining the electric field directly incident on a target with the reflected one by introducing a proper phase shift. The target is imaged by reconstructing its reflectivity profile based on the projections measured. The region of interest (ROI), which contains the albedo, is divided into pixels, and the system collects as many measurements as the number of discrete elements.
The effortless integration of RIS-aided systems into current WiFi-based electromagnetic environments makes this research worthwhile
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