DESIGN OPTIMIZATION OF A BOW-TIE ANTENNA FOR 2.45 GHz RFID READERS USING A HYBRID BSO-NM ALGORITHM

被引：37
作者：
Mahmoud, K. R. [1 ]
机构：
[1] Helwan Univ, Fac Engn, Elect & Commun Dept, Helwan, Egypt
来源：
PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER | 2010年 / 100卷
关键词：
PARTICLE SWARM OPTIMIZATION; BACTERIAL FORAGING OPTIMIZATION; PRINTED DIPOLE ANTENNA; ARRAYS;
D O I：
10.2528/PIER09102903
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Recently the Bacterial for aging optimization algorithm (BFA) has attracted a lot of attention as a high-performance optimizer. This paper presents a hybrid approach involving Bacterial Swarm Optimization (BSO) and Nelder-Mead (NM) algorithm. The proposed algorithm is used to design a bow-tie antenna for 2.45 GHz Radio Frequency Identification (RFID) readers. The antenna is analyzed completely using Method of Moments (MoM), then the MoM code is coupled with the BSO-NM algorithm to optimize the antenna. The simulated antenna and the optimization algorithm programs were implemented using MATLAB version 7.4. To verify the validity of numerical simulations, the results are compared with those obtained using Feko Software Suite 5.3.
引用
收藏
页码：105 / 117
页数：13
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