Beam Pattern Design Method Based on Particle Swarm Optimization
- 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/).
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 -