Optimization of Antenna Isolation Using An Enhanced Multi-Objective Artificial Hummingbird Algorithm Based on Chaotic Sampling

In this paper, a novel enhanced multi-objective artificial hummingbird algorithm is proposed to improve the antenna isolation by optimizing the geometric parameters of each antenna. An effective chaotic sampling method is used to obtain discrete random samples. An antenna array is taken as an exampl...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (Online) s. 1 - 3
Hlavní autori: Qin, Peng-Fei, Li, Xiao-Dong, Liu, Hao-Lei, Wang, Dong, Huang, Guan-Long, Chen, Rui-Sen
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 27.11.2022
ISSN:2694-2992
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:In this paper, a novel enhanced multi-objective artificial hummingbird algorithm is proposed to improve the antenna isolation by optimizing the geometric parameters of each antenna. An effective chaotic sampling method is used to obtain discrete random samples. An antenna array is taken as an example to verify the performance of the tuning method. Results show that the proposed approach is able to achieve a better antenna isolation without any additional decoupling structure.
ISSN:2694-2992
DOI:10.1109/IMWS-AMP54652.2022.10107129