DOA Estimation with Programmable Metasurface

Song Zha, Mingtuan Lin, Hanbing Liu, Zhaofeng Wu, Ji-bin Liu, Bowen Deng
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引用次数: 2

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.
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基于可编程元表面的DOA估计
提出了一种基于单可编程超表面传感器和压缩感知的到达方向估计方法。与基于元表面的波束扫描方法相比,基于元表面的压缩感知在采样长度更小的情况下具有更好的DOA估计性能。通过概念验证实验验证了可编程元表面用于方位估计的可行性。该可编程元表面可以实现单通道和小采样长度的估计,具有成本效益,可广泛应用于物联网(IoT)应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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