DOA Estimation with Programmable Metasurface

Abstract

A novel direction of arrival (DOA) estimation method based on a single programmable metasurface sensor and compressive sensing is proposed in this paper. In comparison with metasuface-based beam-scanning method, metasurface- based compressive sensing for DOA estimation has superior performance with smaller sampling length. A proof-of-concept experiment is made to verify the feasibility of programmable metasurface for DOA estimation. The programmable metasurface can achieve estimation with only a single channel and small sampling length, which is cost-effective and can be widely used in the internet of thing (IoT) application.