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Single-pixel polarimetric direction of arrival estimation using programmable coding metasurface aperture.
Hoang, The Viet; Fusco, Vincent; Abbasi, Muhammad Ali Babar; Yurduseven, Okan.
Afiliação
  • Hoang TV; Institute of Electronics, Communications, and Information Technology (ECIT), Queen's University Belfast, Belfast, BT3 9DT, UK. tv.hoang@qub.ac.uk.
  • Fusco V; Institute of Electronics, Communications, and Information Technology (ECIT), Queen's University Belfast, Belfast, BT3 9DT, UK.
  • Abbasi MAB; Institute of Electronics, Communications, and Information Technology (ECIT), Queen's University Belfast, Belfast, BT3 9DT, UK.
  • Yurduseven O; Institute of Electronics, Communications, and Information Technology (ECIT), Queen's University Belfast, Belfast, BT3 9DT, UK.
Sci Rep ; 11(1): 23830, 2021 Dec 13.
Article em En | MEDLINE | ID: mdl-34903786
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido