  The extra degrees of freedom resulting from the consideration of
Reconfigurable Intelligent Surfaces (RISs) for smart signal propagation can be
exploited for high accuracy localization and tracking. In this paper,
capitalizing on a recent RIS hardware architecture incorporating a single
receive Radio Frequency (RF) chain for measurement collection, we present a
user localization method with multiple RISs. The proposed method includes an
initial step for direction estimation at each RIS, followed by maximum
likelihood position estimation, which is initialized with a least squares line
intersection technique. Our numerical results showcase the accuracy of the
proposed localization, verifying our theoretical estimation analysis.
