Skip to content
Free planNo credit card requiredStart writing

article · 2023

A 2-Bit Reconfigurable Reflect-Array Antenna Element at Ka-Band

Enhao Wang, Guangyao Peng, Zhi Hao Jiang

Cited by 1Abstract and details only

Abstract

A 2-bit electronically reconfigurable reflect-array (RRA) element, integrated with two PIN diodes, is presented at Ka-band. The element can be adjusted to generate four states for 2-bit phase tuning. A dual-layer miniaturized structure is utilized to reduce the performance sensitivity of the element under obliquely incident waves, which is practical for large-aperture beam scanning applications. As a result, a 2-bit phase-shifting is achieved with a phase difference of <tex>$90^{\mathrm{o}}\pm 20^{0}$</tex> from 25.8 GHz to 26.3 GHz, possessing an averaged element loss of less than 0.9 dB. The RRA element is fabricated and measured based on the waveguide simulator. The good agreement between the measured and simulated results verifies the proposed design.

Cite this paper

APA 7

Wang, E., Peng, G., & Jiang, Z. H. (2023). A 2-Bit Reconfigurable Reflect-Array Antenna Element at Ka-Band. https://doi.org/10.23919/aces57841.2023.10114729

MLA 9

Wang, Enhao, et al. “A 2-Bit Reconfigurable Reflect-Array Antenna Element at Ka-Band.” 2023, pp. 1–2, https://doi.org/10.23919/aces57841.2023.10114729.

Chicago

Wang, Enhao, Guangyao Peng, and Zhi Hao Jiang. 2023. “A 2-Bit Reconfigurable Reflect-Array Antenna Element at Ka-Band.” https://doi.org/10.23919/aces57841.2023.10114729.

Harvard

Wang, E., Peng, G. and Jiang, Z.H. (2023) ‘A 2-Bit Reconfigurable Reflect-Array Antenna Element at Ka-Band’. Available at: https://doi.org/10.23919/aces57841.2023.10114729.

BibTeX
@article{wang2023reconfigurable,
  title = {{A 2-Bit Reconfigurable Reflect-Array Antenna Element at Ka-Band}},
  author = {Wang, Enhao and Peng, Guangyao and Jiang, Zhi Hao},
  pages = {1--2},
  year = {2023},
  doi = {10.23919/aces57841.2023.10114729}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.