A tri-band (Ku, K and Ka-bands) shared-aperture reflect-transmit-array based on spatial phase genetic algorithm

Abstract A broadband tri-band shared-aperture reflect-transmit-array (RTA) is presented in this paper. This design is characterized by its simpler structure, tri-band operation and great broadband characteristics. In addition, the spatial phase genetic algorithm (SPGA) is also utilized to optimize the distribution of two kinds of elements to reduce the interference. Due to f max / f min > 2.3, the hexagonal units are utilized. Two kinds of RTA elements are designed to achieve different reflection characteristics (Element I: reflection in Ku-band; Element II: reflection in Ka-band), and the same transmission performance in K-band. After array optimization using SPGA, this RTA was simulated, manufactured and measured to verify the performance. There is a good consistency between the simulated and measured results. The measurements indicate that the peak gain is 22.15 dBi, 25.09 dBic and 25.57 dBi at 16.5, 25.5 and 34.0 GHz, respectively. The 3 dB gain bandwidth (BW) is 18.93%, 39.12% and 19.80% in Ku-, K-, and Ka-bands, respectively. Furthermore, the 3 dB axial ratio (AR) BW is 31.58% when working at transmission mode. The proposed antenna is anticipated to exhibit considerable potential in multi-band application scenarios.

Authors

Institutions

Publication Details

Journal
Physica Scripta
Published
2025-04-28
DOI
https://doi.org/10.1088/1402-4896/add193
Citations
2
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
9.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A tri-band (Ku, K and Ka-bands) shared-aperture reflect-transmit-array based on spatial phase genetic algorithm

Kunlong Jiao, Bingchuan Xie, Ziwei Yang, H. Li et al.
2 citations
Physica Scripta
Antenna Design and Optimization
9.99
article

A tri-band (Ku, K and Ka-bands) shared-aperture reflect-transmit-array based on spatial phase genetic algorithm

Kunlong Jiao, Bingchuan Xie, Ziwei Yang, H. Li, Rui Zhang, Yong Wang, Yueyan Ren, Tian Lu
article en
2 citations

Abstract

Abstract A broadband tri-band shared-aperture reflect-transmit-array (RTA) is presented in this paper. This design is characterized by its simpler structure, tri-band operation and great broadband characteristics. In addition, the spatial phase genetic algorithm (SPGA) is also utilized to optimize the distribution of two kinds of elements to reduce the interference. Due to f max / f min > 2.3, the hexagonal units are utilized. Two kinds of RTA elements are designed to achieve different reflection characteristics (Element I: reflection in Ku-band; Element II: reflection in Ka-band), and the same transmission performance in K-band. After array optimization using SPGA, this RTA was simulated, manufactured and measured to verify the performance. There is a good consistency between the simulated and measured results. The measurements indicate that the peak gain is 22.15 dBi, 25.09 dBic and 25.57 dBi at 16.5, 25.5 and 34.0 GHz, respectively. The 3 dB gain bandwidth (BW) is 18.93%, 39.12% and 19.80% in Ku-, K-, and Ka-bands, respectively. Furthermore, the 3 dB axial ratio (AR) BW is 31.58% when working at transmission mode. The proposed antenna is anticipated to exhibit considerable potential in multi-band application scenarios.

Physica ScriptaVol. 100(6)
Chinese Academy of Sciences (CN), Aerospace Information Research Institute (CN), Xi'an Institute of Optics and Precision Mechanics (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 3%
Antenna Design and Optimization
9.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.