DocumentCode :
678380
Title :
The design model of evolutionary antenna with finite reflector
Author :
Yuanyuan Fan ; Qingzhong Liang ; Xuesong Yan ; Chengyu Hu ; Chao Liu ; Hong Yao
Author_Institution :
Sch. of Comput. Sci., China Univ. of Geosci., Wuhan, China
fYear :
2013
fDate :
11-13 Dec. 2013
Firstpage :
262
Lastpage :
266
Abstract :
In practical applications, the interference between the antenna and the metal structure nearby often cause deviation of the electromagnetic performance of the antenna. The factor of finite reflector should be considered in the evolutionary antenna to avoid the influence so that the optimal antenna structure can be better applicable to real-world conditions. Therefore, a kind of design model of evolutionary antenna with a finite reflector is proposed in this paper, which includes the corresponding chromosome coding and the design workflow. In this design model, the antenna is optimized with its finite reflector during the evolutionary process. Meanwhile aiming at the characteristics of the model, the method of invoking the simulation software and setting the finite reflector is discussed to evaluate the antenna individuals effectively. This design model with a finite reflector was applied in a practical design problem, and the experimental result shows that it is superior to the one with a infinite reflector both on gain and VSWR. It illustrates that it is very important to take the reflector factor into consideration in the design model of evolutionary antenna.
Keywords :
electromagnetic devices; reflector antennas; design workflow; electromagnetic performance; evolutionary antenna; finite reflector; metal structure; optimal antenna structure; Antenna radiation patterns; Biological cells; Electromagnetics; Encoding; Software; Wires; electromagnetism simulation; evolutionary antenna; finite reflector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Ad-hoc and Sensor Networks (MSN), 2013 IEEE Ninth International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-0-7695-5159-3
Type :
conf
DOI :
10.1109/MSN.2013.79
Filename :
6726340
Link To Document :
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