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基于可编程编码超表面孔径的单像素极化到达角估计

Single-pixel polarimetric direction of arrival estimation using programmable coding metasurface aperture.

作者信息

Hoang The Viet, Fusco Vincent, Abbasi Muhammad Ali Babar, Yurduseven Okan

机构信息

Institute of Electronics, Communications, and Information Technology (ECIT), Queen's University Belfast, Belfast, BT3 9DT, UK.

出版信息

Sci Rep. 2021 Dec 13;11(1):23830. doi: 10.1038/s41598-021-03228-5.

DOI:10.1038/s41598-021-03228-5
PMID:34903786
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8668895/
Abstract

This paper presents a single-pixel polarimetric compressive sensing (CS)-based direction of arrival (DoA) estimation technique using a cavity backed programmable coding metasurface aperture. The single-pixel DoA retrieval technique relies on a dynamically modulated waveform diversity, enabling spatially incoherent radiation masks to encode the incoming plane waves on the radar aperture using a single channel. The polarimetric nature of the wave-chaotic coded metasurface ensures that the DOA estimation is sensitive to the polarization state of the incoming waves. We show that the polarimetric single-pixel DoA concept can be realized by encoding the polarization information of the incoming waves at the physical layer level within the antenna. A dynamically reconfigurable wave-chaotic metasurface, which possesses a structured sparsity of dual-polarized coded metamaterial elements, is proposed for the proof of concept. It is shown that by encoding and compressing the source generated far-field incident waves into a single channel, we can retrieve high fidelity polarimetric DoA information from compressed measurements.

摘要

本文提出了一种基于单像素极化压缩感知(CS)的波达方向(DoA)估计技术,该技术使用了背腔式可编程编码超表面孔径。单像素DoA检索技术依赖于动态调制的波形分集,使得空间非相干辐射掩码能够使用单个通道在雷达孔径上对入射平面波进行编码。波混沌编码超表面的极化特性确保了DoA估计对入射波的极化状态敏感。我们表明,极化单像素DoA概念可以通过在天线内的物理层水平对入射波的极化信息进行编码来实现。为了验证这一概念,提出了一种动态可重构的波混沌超表面,它具有双极化编码超材料单元的结构化稀疏性。结果表明,通过将源产生的远场入射波编码并压缩到单个通道中,我们可以从压缩测量中检索出高保真的极化DoA信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/a7cbbb213bef/41598_2021_3228_Fig13_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/5d572afd6253/41598_2021_3228_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/c5cdad29f3b4/41598_2021_3228_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/88ce3bd1138d/41598_2021_3228_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/cd1f421e400a/41598_2021_3228_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/339b23fb617c/41598_2021_3228_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/4473eca25fcc/41598_2021_3228_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/70ee31cc3a10/41598_2021_3228_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/2c37ba6f772c/41598_2021_3228_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/0bf302163383/41598_2021_3228_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/4efd9f43590e/41598_2021_3228_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/d37e263b4920/41598_2021_3228_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/e05beda7449a/41598_2021_3228_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df06/8668895/a7cbbb213bef/41598_2021_3228_Fig13_HTML.jpg

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