Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

Beam Pattern Design Method Based on Particle Swarm Optimization

Authors
Yan Rong, Shuqiang Gao
Corresponding Author
Yan Rong
Available Online May 2018.
DOI
10.2991/ncce-18.2018.113How to use a DOI?
Keywords
Genetic Algorithm; Beam-forming; Particle Swarm; Beam Pattern Design.
Abstract

As a new and emerging intelligent algorithm, although young, but the particle swarm algorithm has a very important role in the development of modern society, so we can do nothing without it, its emergence in the academic community caused Depressed big wave. In this article, we try to give its principle, and of course we will also show you how to design a beam pattern based on it. Obviously, in order to highlight our correctness, we compared this method with the simulated annealing algorithm. We proposed the design of a 20-element planar array because we will show you the effectiveness of our method. Finally, we can see that using the particle swarm algorithm we get a better beam pattern, which means we get a lower side-lobe.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
10.2991/ncce-18.2018.113
ISSN
1951-6851
DOI
10.2991/ncce-18.2018.113How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Rong
AU  - Shuqiang Gao
PY  - 2018/05
DA  - 2018/05
TI  - Beam Pattern Design Method Based on Particle Swarm Optimization
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 688
EP  - 691
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.113
DO  - 10.2991/ncce-18.2018.113
ID  - Rong2018/05
ER  -