ANN-enabled Direction Finding with Space-Time-Coding Metasurface

In this paper, a method combining artificial neural networks (ANNs) with space-time-coding (STC) digital metasurfaces is proposed for the direction finding of incoming waves. ANN-based direction finding achieves high accuracy by simply analyzing the spatial spectrum characteristics of STC modulation, which uses only harmonic amplitudes. This method can effectively solve the problems of complex hardware architectures, large computational resources, and high costs that arise from traditional direction finding techniques. It has a broad application prospect in wireless sensing, communications, radar, and other information systems.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/apcap62011.2024.10881721
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
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article

ANN-enabled Direction Finding with Space-Time-Coding Metasurface

Yi Nan Zhao, Zi Qian Yu, Kun Wang, Yi Zhuang et al.
Indoor and Outdoor Localization Technologies
article

ANN-enabled Direction Finding with Space-Time-Coding Metasurface

Yi Nan Zhao, Zi Qian Yu, Kun Wang, Yi Zhuang, Jin Cheng Zhong
article en

Abstract

In this paper, a method combining artificial neural networks (ANNs) with space-time-coding (STC) digital metasurfaces is proposed for the direction finding of incoming waves. ANN-based direction finding achieves high accuracy by simply analyzing the spatial spectrum characteristics of STC modulation, which uses only harmonic amplitudes. This method can effectively solve the problems of complex hardware architectures, large computational resources, and high costs that arise from traditional direction finding techniques. It has a broad application prospect in wireless sensing, communications, radar, and other information systems.

Southeast University (CN)
Openalex Percentile: Top 75%
Indoor and Outdoor Localization Technologies
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