Scholars@Duke

An Adaptive Evolutionary Neural Network-Based Optimization Design Method for Wideband Dual-Polarized Antennas

Publication ,  Journal Article
Li, J; Qiu, W; Xiao, P; Liu, Z; Li, G; Joines, WT; Liao, S
Published in: IEEE Transactions on Antennas and Propagation
October 1, 2023
Published version (DOI)

In order to improve the efficiency and accuracy of antenna optimization, an adaptive evolutionary neural network (AENN)-based optimization design method for the wideband dual-polarized antenna is proposed. The proposed AENN is composed of two networks. The first network is used to predict the structural parameters of the antenna, and the second network uses the structural parameters as input to verify the results of the first network. This method only needs a small number of datasets to pretrain the network, and then, through the advanced workflow, while updating the dataset, the two networks can evolve iteratively, and finally, the antenna structural parameters under the expected electromagnetic response can be obtained. Taking two wideband dual-polarized antennas as numerical examples, this method is compared with other advanced antenna optimization methods, and the effectiveness of this method is verified.

Duke Scholars

William T. Joines
Author William T. Joines Electrical and Computer Engineering

Published In

IEEE Transactions on Antennas and Propagation

DOI

10.1109/TAP.2023.3301882

EISSN

1558-2221

ISSN

0018-926X

Publication Date

October 1, 2023

Volume

71

Issue

10

Start / End Page

8165 / 8172

Related Subject Headings

  • Networking & Telecommunications
  • 4009 Electronics, sensors and digital hardware
  • 4008 Electrical engineering
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Li, J., Qiu, W., Xiao, P., Liu, Z., Li, G., Joines, W. T., & Liao, S. (2023). An Adaptive Evolutionary Neural Network-Based Optimization Design Method for Wideband Dual-Polarized Antennas. IEEE Transactions on Antennas and Propagation, 71(10), 8165–8172. https://doi.org/10.1109/TAP.2023.3301882
Li, J., W. Qiu, P. Xiao, Z. Liu, G. Li, W. T. Joines, and S. Liao. “An Adaptive Evolutionary Neural Network-Based Optimization Design Method for Wideband Dual-Polarized Antennas.” IEEE Transactions on Antennas and Propagation 71, no. 10 (October 1, 2023): 8165–72. https://doi.org/10.1109/TAP.2023.3301882.
Li J, Qiu W, Xiao P, Liu Z, Li G, Joines WT, et al. An Adaptive Evolutionary Neural Network-Based Optimization Design Method for Wideband Dual-Polarized Antennas. IEEE Transactions on Antennas and Propagation. 2023 Oct 1;71(10):8165–72.
Li, J., et al. “An Adaptive Evolutionary Neural Network-Based Optimization Design Method for Wideband Dual-Polarized Antennas.” IEEE Transactions on Antennas and Propagation, vol. 71, no. 10, Oct. 2023, pp. 8165–72. Scopus, doi:10.1109/TAP.2023.3301882.
Li J, Qiu W, Xiao P, Liu Z, Li G, Joines WT, Liao S. An Adaptive Evolutionary Neural Network-Based Optimization Design Method for Wideband Dual-Polarized Antennas. IEEE Transactions on Antennas and Propagation. 2023 Oct 1;71(10):8165–8172.

Published In

IEEE Transactions on Antennas and Propagation

DOI

10.1109/TAP.2023.3301882

EISSN

1558-2221

ISSN

0018-926X

Publication Date

October 1, 2023

Volume

71

Issue

10

Start / End Page

8165 / 8172

Related Subject Headings

  • Networking & Telecommunications
  • 4009 Electronics, sensors and digital hardware
  • 4008 Electrical engineering
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering