Generalized High-Precision and Wide-Angle DOA Estimation Method Based on Space-Time-Coding Digital Metasurfaces

被引:0
|
作者
Zhou, Qun Yan [1 ]
Dai, Jun Yan [1 ]
Fang, Zuqi [1 ]
Wu, Lijie [1 ]
Qi, Zhen Jie [1 ]
Wang, Si Ran [1 ,2 ]
Jiang, Rui Zhe [1 ]
Cheng, Qiang [1 ]
Cui, Tie Jun [1 ]
机构
[1] Southeast Univ, State Key Lab Millimeter Waves, Nanjing 210096, Peoples R China
[2] City Univ Hong Kong, State Key Lab Terahertz & Millimeter Waves, Hong Kong, Peoples R China
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 23期
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Direction-of-arrival estimation; Harmonic analysis; Estimation; Metasurfaces; Internet of Things; Sensitivity; Hardware; Direction of Arrival (DOA); Internet of Things (IoT); metasurface; space-time-coding; MODULATED ARRAY; DIRECTION; SIGNAL;
D O I
10.1109/JIOT.2024.3445451
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Direction of Arrival (DOA) estimation is essential in building the wireless electromagnetic (EM) environment. However, the conventional DOA estimation methods have been criticized for their hardware complexity, high cost, and low energy efficiency. Recently, metasurface-based methods have emerged as promising alternatives that offer cost-effective solutions. Nevertheless, the existing studies have neglected angle sensitivity, an intrinsic physical property of metasurface, leading to errors in DOA estimations. To address this issue, we propose a generalized high-precision and wide-angle DOA estimation method based on the space-time-coding digital metasurfaces (STCDM). By carefully designing two elementary STC sequences, we realize two angle-independent harmonic states to construct a specified orthogonal matrix. Then, the harmonics, modulated by each meta-column in accordance with the matrix, are sampled by a single channel receiver at different time intervals. Upon the reception of the signal, the information on the metasurface can be comprehensively retrieved through the matrix operations, facilitating the high-accuracy DOA estimations using the array signal processing (ASP) algorithms. This work focuses on eliminating the influence of angle sensitivity on the metasurface-based DOA estimations, which guarantees high accuracy and substantially reduces hardware requirements. The proposed method holds potential for various applications, including Internet of Things (IoT) and integrated sensing and communication (ISAC).
引用
收藏
页码:38196 / 38206
页数:11
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