Design and Optimization of Fractal Antenna for UWB Application

被引:0
作者
Behera, Arati [1 ]
Satrusallya, Sarmistha [1 ]
Mohanty, Mihir Narayan [1 ]
机构
[1] SOA Univ, ITER, Bhubaneswar, Odisha, India
来源
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON FRONTIERS IN INTELLIGENT COMPUTING: THEORY AND APPLICATIONS, (FICTA 2016), VOL 2 | 2017年 / 516卷
关键词
Microstrip antennas; Particle swarm optimization (PSO); Return loss;
D O I
10.1007/978-981-10-3156-4_19
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
UWB application increases day-by-day along with various applications. As the communication is mostly dependent on wireless based, so a suitable antenna design is a major challenge for the researchers. In this paper we've taken an attempt to partially meet the challenge. The antenna is microstrip type based on Fractal Geometry. Initially the fractal antenna design has been made so its performance is in terms of bandwidth. Further the parameter of the antenna have been optimized to have better performance as compared to Un-optimized antenna. It shows output as shown in result section. Particle Swarm Optimization (PSO) which is a viable developmental improvement strategy is used for optimizing the proposed antenna. This method provides better results in the design of the antenna and it also analyzed the effect of the various design parameters like ground plane, feed line width, middle triangle radius. The improvement in the results has been included in the design. It is found to be suitable for UWB communication application.
引用
收藏
页码:189 / 197
页数:9
相关论文
共 12 条
[1]  
[Anonymous], P ISAP KAOHS TAIW
[2]  
[Anonymous], IEEE INT C MACH INT
[3]  
[Anonymous], IEEE ANTENNAS WIREL
[4]  
[Anonymous], 2016, Antenna Theory and Design
[5]  
[Anonymous], IEEE INT C EM TRENDS
[6]  
[Anonymous], IEEE T ANTENNA PROPA
[7]  
[Anonymous], IEEE ANTENNAS WIREL
[8]  
[Anonymous], 1995, 1995 IEEE INT C
[9]  
Garg R., 2001, Microstrip Antenna Design Handbook
[10]   A modified particle swarm optimizer [J].
Shi, YH ;
Eberhart, R .
1998 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION - PROCEEDINGS, 1998, :69-73