Surface Wave Antenna Metallic Cell Pattern Design Using Neural Network Method

Jiashu Yang; Kin Fai Tong

doi:10.1109/iWEM52897.2022.9993476

Surface Wave Antenna Metallic Cell Pattern Design Using Neural Network Method

Jiashu Yang
, Kin Fai Tong

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

Abstract

This work presents a surface wave antenna metallic cell pattern prediction method which can be generated based on the required far-field radiation pattern by the mean of applying Wasserstein generative adversarial network (WGAN) and bi-directional gated recurrent unit (Bi-GRU) neural network models. The predicted metallic cell pattern has been 3D-modelled in CST and the radiation pattern shows less than 1 dBi variation level from the desired input radiation pattern.

Original language	English
Title of host publication	2022 IEEE International Workshop on Electromagnetics
Subtitle of host publication	Applications and Student Innovation Competition, iWEM 2022
Pages	71-72
Number of pages	2
ISBN (Electronic)	9781665432382
DOIs	https://doi.org/10.1109/iWEM52897.2022.9993476
Publication status	Published - 2022
Externally published	Yes
Event	2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022 - Narashino, Japan Duration: 29 Aug 2022 → 31 Aug 2022

Publication series

Name	2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022

Conference

Conference	2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022
Country/Territory	Japan
City	Narashino
Period	29/08/22 → 31/08/22

Keywords

millimetre-wave (mmWave)
Neural network
surface wave antenna

Access to Document

10.1109/iWEM52897.2022.9993476

Cite this

Yang, J., & Tong, K. F. (2022). Surface Wave Antenna Metallic Cell Pattern Design Using Neural Network Method. In 2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022 (pp. 71-72). (2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022). https://doi.org/10.1109/iWEM52897.2022.9993476

@inproceedings{db871d34a90440b482cd59792bf2b872,

title = "Surface Wave Antenna Metallic Cell Pattern Design Using Neural Network Method",

abstract = "This work presents a surface wave antenna metallic cell pattern prediction method which can be generated based on the required far-field radiation pattern by the mean of applying Wasserstein generative adversarial network (WGAN) and bi-directional gated recurrent unit (Bi-GRU) neural network models. The predicted metallic cell pattern has been 3D-modelled in CST and the radiation pattern shows less than 1 dBi variation level from the desired input radiation pattern.",

keywords = "millimetre-wave (mmWave), Neural network, surface wave antenna",

author = "Jiashu Yang and Tong, \{Kin Fai\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022 ; Conference date: 29-08-2022 Through 31-08-2022",

year = "2022",

doi = "10.1109/iWEM52897.2022.9993476",

language = "English",

series = "2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022",

pages = "71--72",

booktitle = "2022 IEEE International Workshop on Electromagnetics",

}

Yang, J & Tong, KF 2022, Surface Wave Antenna Metallic Cell Pattern Design Using Neural Network Method. in 2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022. 2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022, pp. 71-72, 2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022, Narashino, Japan, 29/08/22. https://doi.org/10.1109/iWEM52897.2022.9993476

Surface Wave Antenna Metallic Cell Pattern Design Using Neural Network Method. / Yang, Jiashu; Tong, Kin Fai.
2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022. 2022. p. 71-72 (2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022).

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

TY - GEN

T1 - Surface Wave Antenna Metallic Cell Pattern Design Using Neural Network Method

AU - Yang, Jiashu

AU - Tong, Kin Fai

PY - 2022

Y1 - 2022

N2 - This work presents a surface wave antenna metallic cell pattern prediction method which can be generated based on the required far-field radiation pattern by the mean of applying Wasserstein generative adversarial network (WGAN) and bi-directional gated recurrent unit (Bi-GRU) neural network models. The predicted metallic cell pattern has been 3D-modelled in CST and the radiation pattern shows less than 1 dBi variation level from the desired input radiation pattern.

AB - This work presents a surface wave antenna metallic cell pattern prediction method which can be generated based on the required far-field radiation pattern by the mean of applying Wasserstein generative adversarial network (WGAN) and bi-directional gated recurrent unit (Bi-GRU) neural network models. The predicted metallic cell pattern has been 3D-modelled in CST and the radiation pattern shows less than 1 dBi variation level from the desired input radiation pattern.

KW - millimetre-wave (mmWave)

KW - Neural network

KW - surface wave antenna

UR - https://www.scopus.com/pages/publications/85146428167

U2 - 10.1109/iWEM52897.2022.9993476

DO - 10.1109/iWEM52897.2022.9993476

M3 - Conference contribution

AN - SCOPUS:85146428167

T3 - 2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022

SP - 71

EP - 72

BT - 2022 IEEE International Workshop on Electromagnetics

T2 - 2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022

Y2 - 29 August 2022 through 31 August 2022

ER -

Yang J, Tong KF. Surface Wave Antenna Metallic Cell Pattern Design Using Neural Network Method. In 2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022. 2022. p. 71-72. (2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022). doi: 10.1109/iWEM52897.2022.9993476

Surface Wave Antenna Metallic Cell Pattern Design Using Neural Network Method

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Keywords

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