This project explores a new approach to indoor localization using retroreflective Reconfigurable Intelligent Surfaces (RIS). Unlike conventional RIS that actively steer signals, retroreflective RIS naturally send radio waves back toward their source while still allowing programmable control. This creates stable and energy-efficient signal paths that can significantly improve positioning accuracy in cluttered or dynamic environments. […]
Read More