Abstract:
This paper examines the performance of tunable reflectarray for
Direction of Arrival (DoA) estimation based on Compressed Sensing (CS). Using a reflectarray lifts the limitation on array size compared to classical antenna
arrays and provides significantly increased number and complexity of the Sensing
Functions (SFs), which boosts the performance of the CS. The paper presents the
data model of the reflectarray and analyzes its performance in terms of manifold
spatial correlation.
