119
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Low-mutual-coupling reflectarray antenna based on random fragmented elements with square loops

, , &
Pages 155-166 | Received 15 Aug 2020, Accepted 19 Mar 2021, Published online: 04 Apr 2021
 

ABSTRACT

A novel microstrip reflectarray antenna constructed by elements of random fragmented patches with square loops attached to the edge is proposed in this paper. The fragmented patch is gridded into 2 N × 2 N pixels, each of which is randomly assigned either conducting or non-conducting property. In this case, a variety of different reflection phases can be obtained due to the structural differences between the elements. To suppress the mutual coupling between elements, each fragmented unit is integrated with a metal square loop, and the reduction of the mutual coupling is indirectly analyzed across the frequency characteristics of the reflection phase for the combined elements. A prototype antenna with 7 × 7 elements was designed, fabricated, and measured. Both the simulation and measurement results show that the microstrip reflectarray antenna possesses a high gain of 19.7 dBi at its working frequency of 5.8 GHz, which is 2 dB higher than that of the reflectarray elements without square loops. Meanwhile, this antenna achieves an impedance bandwidth (|S| < − 10 dB) of 5.6%, side-lobes 13.1 dB below the main lobe, and with the cross-polarization level less than −18 dB.

Acknowledgments

This work was supported by the Natural Science Foundation of Shanxi Province (201901D111026)

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 396.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.