Intelligent Phase Mapping Approach via Neural Networks on Metasurfaces

Lamei Zhang; Wuxia Miao; Bin Zou

doi:10.1109/USNC-URSI52151.2023.10237772

Intelligent Phase Mapping Approach via Neural Networks on Metasurfaces

Lamei Zhang
, Wuxia Miao
, Bin Zou

School of Electronics and Information Engineering

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An Intelligent Phase Mapping Approach via Neural Networks (PM-NN) on metasurfaces is proposed in this paper, which is characterized by the performances of stable feasibility in different sizes and broadband. The technology of multi-layer perceptron (MLP) is introduced to address the limitation of traditional empirical formulas in nonlinearity representation. Experiments verify the validity of PM-NN. For future works, more discussions of the proposed PM0NN will be applied to further complex metasurfaces.

Original language	English
Title of host publication	2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1019-1020
Number of pages	2
ISBN (Electronic)	9781665442282
DOIs	https://doi.org/10.1109/USNC-URSI52151.2023.10237772
State	Published - 2023
Event	2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Portland, United States Duration: 23 Jul 2023 → 28 Jul 2023

Publication series

Name	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume	2023-July
ISSN (Print)	1522-3965

Conference

Conference	2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023
Country/Territory	United States
City	Portland
Period	23/07/23 → 28/07/23

Access to Document

10.1109/USNC-URSI52151.2023.10237772

Cite this

Zhang, L., Miao, W., & Zou, B. (2023). Intelligent Phase Mapping Approach via Neural Networks on Metasurfaces. In 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings (pp. 1019-1020). (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest); Vol. 2023-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/USNC-URSI52151.2023.10237772

Zhang, Lamei ; Miao, Wuxia ; Zou, Bin. / Intelligent Phase Mapping Approach via Neural Networks on Metasurfaces. 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1019-1020 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)).

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title = "Intelligent Phase Mapping Approach via Neural Networks on Metasurfaces",

abstract = "An Intelligent Phase Mapping Approach via Neural Networks (PM-NN) on metasurfaces is proposed in this paper, which is characterized by the performances of stable feasibility in different sizes and broadband. The technology of multi-layer perceptron (MLP) is introduced to address the limitation of traditional empirical formulas in nonlinearity representation. Experiments verify the validity of PM-NN. For future works, more discussions of the proposed PM0NN will be applied to further complex metasurfaces.",

author = "Lamei Zhang and Wuxia Miao and Bin Zou",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 ; Conference date: 23-07-2023 Through 28-07-2023",

year = "2023",

doi = "10.1109/USNC-URSI52151.2023.10237772",

language = "英语",

series = "IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1019--1020",

booktitle = "2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings",

address = "美国",

}

Zhang, L, Miao, W & Zou, B 2023, Intelligent Phase Mapping Approach via Neural Networks on Metasurfaces. in 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), vol. 2023-July, Institute of Electrical and Electronics Engineers Inc., pp. 1019-1020, 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023, Portland, United States, 23/07/23. https://doi.org/10.1109/USNC-URSI52151.2023.10237772

Intelligent Phase Mapping Approach via Neural Networks on Metasurfaces. / Zhang, Lamei; Miao, Wuxia; Zou, Bin.
2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1019-1020 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest); Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Zhang, Lamei

AU - Miao, Wuxia

AU - Zou, Bin

PY - 2023

Y1 - 2023

N2 - An Intelligent Phase Mapping Approach via Neural Networks (PM-NN) on metasurfaces is proposed in this paper, which is characterized by the performances of stable feasibility in different sizes and broadband. The technology of multi-layer perceptron (MLP) is introduced to address the limitation of traditional empirical formulas in nonlinearity representation. Experiments verify the validity of PM-NN. For future works, more discussions of the proposed PM0NN will be applied to further complex metasurfaces.

AB - An Intelligent Phase Mapping Approach via Neural Networks (PM-NN) on metasurfaces is proposed in this paper, which is characterized by the performances of stable feasibility in different sizes and broadband. The technology of multi-layer perceptron (MLP) is introduced to address the limitation of traditional empirical formulas in nonlinearity representation. Experiments verify the validity of PM-NN. For future works, more discussions of the proposed PM0NN will be applied to further complex metasurfaces.

UR - https://www.scopus.com/pages/publications/85172417784

U2 - 10.1109/USNC-URSI52151.2023.10237772

DO - 10.1109/USNC-URSI52151.2023.10237772

M3 - 会议稿件

AN - SCOPUS:85172417784

T3 - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)

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BT - 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023

Y2 - 23 July 2023 through 28 July 2023

ER -

Zhang L, Miao W, Zou B. Intelligent Phase Mapping Approach via Neural Networks on Metasurfaces. In 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1019-1020. (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). doi: 10.1109/USNC-URSI52151.2023.10237772

Intelligent Phase Mapping Approach via Neural Networks on Metasurfaces

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