Reconfigurable Intelligent Surfaces Aided Localization Using Compressive Sensing

The accuracy of RF sensing is limited due to the unwanted multi-path fading in uncontrollable radio environments. As a result, the radio environments of current RF sensing techniques restrict the number of transmission channels. Instead of passively adapting to the environment, we design an RF sensing system for target localization based on reconfigurable intelligent surfaces (RISs) using compressive sensing. This system can alter environment to offer desirable propagation. For mapping the received signal to target location, we have used Alternating Direction Method of Multipliers (ADMM) algorithm to utilize target scene sparsity.