Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 1


Published
on

December 27, 2021


Pages

545-552


DOI

Article

Beam control method for multi-array antennas based on improved genetic algorithm


Authors

Guojin Kan Affiliation:
Science and Technology on Space Physics Laboratory, China Academy of Launch Vehicle Technology, Beijing, 100076, China
, Lutian Wang Affiliation:
Aerospace Times FeiHong Technology Company Limited, Beijing, 100094, China
, Yanzheng Chen Affiliation:
The 36th Research Institute of China Electronic Science and Technology Group Inc, Zhejiang, Jiaxing, 314000, China
, Adel A. Bahaddad Affiliation:
Department of Information System, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
and Moaiad Ahmad Khder Affiliation:
Applied Science University, Al Eker, Kingdom of Bahrain


Abstract

In the rapid development of modern science and technology, the human communication system has developed to 5G, and antenna in the related equipment research and technology application has also shown a positive role. With the increasing demand for antennas and their application scope, people have put forward more requirements on the beam shape of antennas. Therefore, it is very important to control the beam of multi-array antenna based on improved genetic algorithms in the new era. Therefore, on the basis of understanding the genetic algorithm and its application content, this paper studies the future development of related technologies based on the design content and test results of the broadband low-side lobe and high-gain microstrip display antenna developed in the new era.


Keywords

genetic algorithm, array, the antenna, beam, low side lobe, high gain, microstrip, display antenna, design, 76M55


Citation

Kan, G., Wang, L., Chen, Y., Bahaddad, A. A., & Khder, M. A. (2021). Beam control method for multi-array antennas based on improved genetic algorithm. Applied Mathematics and Nonlinear Sciences, 6(1), 545–552. https://doi.org/10.2478/amns.2021.1.00086
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