2019
DOI: 10.1109/tap.2019.2891230
|View full text |Cite
|
Sign up to set email alerts
|

Wideband Near-Field Correction of a Fabry–Perot Resonator Antenna

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
41
0
1

Year Published

2019
2019
2021
2021

Publication Types

Select...
8

Relationship

2
6

Authors

Journals

citations
Cited by 75 publications
(42 citation statements)
references
References 31 publications
0
41
0
1
Order By: Relevance
“…By combining MATLAB with electromagnetics simulators to solve the design and optimization of complex antennas has been extensive researched and developed. [23][24][25] After unremitting efforts, recently, the cosimulation method unlocked the potential of artificial intelligence in solving complex electromagnetics and microwave problems, which greatly improve the design efficiency and provide more possibility for antenna design. 26,27 In this article, the hat-fed was well designed by HFSS and MATLAB.…”
Section: Optimization By Adopting the Co-simulation Of Hfss-matlabmentioning
confidence: 99%
“…By combining MATLAB with electromagnetics simulators to solve the design and optimization of complex antennas has been extensive researched and developed. [23][24][25] After unremitting efforts, recently, the cosimulation method unlocked the potential of artificial intelligence in solving complex electromagnetics and microwave problems, which greatly improve the design efficiency and provide more possibility for antenna design. 26,27 In this article, the hat-fed was well designed by HFSS and MATLAB.…”
Section: Optimization By Adopting the Co-simulation Of Hfss-matlabmentioning
confidence: 99%
“…All dielectric-based PRSs exhibit excellent capabilities in bandwidth expansion and wideband gain enhancement for FP antennas [25]- [40]. In [25]- [27], single-layer dielectric PRSs are employed to realize wide 3-dB gain bandwidths of FP antennas.…”
Section: Introductionmentioning
confidence: 99%
“…Generally, particle swarm optimization (PSO) and genetic algorithm (GA) are most frequently used in optimization. PSO is recently applied in various types of array antennas for broadband, reconfigurable and switched-beam applications [6][7][8][9] and used in conjunction with CST MWS to design near-field correcting structures and spatial phase shifters [10,11]. Also this data-driven optimization is implemented to design various types of EM or microwave devices such as couplers, frequency selective surfaces, artificial magnetic conductors, aperture distribution, and filters [12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%