粒子群優化演算法應用於天線之設計;Particle Swarm Optimization Algorithm Applied to Antenna Design

NCUIR > College of Electrical Engineering & Computer Science > Executive Master of Communication Engineering > Electronic Thesis & Dissertation > Item 987654321/65524

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/65524

Title:	粒子群優化演算法應用於天線之設計;Particle Swarm Optimization Algorithm Applied to Antenna Design
Authors:	游孟怡;Yu,Meng-Yi
Contributors:	通訊工程學系在職專班
Keywords:	粒子群演算法;微帶天線;IE3D;PSO;microstrip antennas;IE3D
Date:	2014-08-29
Issue Date:	2014-10-15 17:02:42 (UTC+8)
Publisher:	國立中央大學
Abstract:	論文提要及內容：模擬軟體在微波和天線領域是很重要的，可以很準確分析複雜的微波電路和天線，一般的模擬軟體，設計者只能反覆的微調參數，不斷的Tuning，才能求到模擬結果，很花時間及心力。粒子群優化演算法（Particle Swarm Optimization，PSO）能搜尋全域的最佳解，具有最佳化的特性，運用到電磁模擬軟體 IE3D或HFSS，再配合天線規格需求，只需輸入天線的參數範圍，即可設計出最佳之天線結構。 ;Electromagnetic simulation software in microwave and antenna is very important, can be very accurate analysis of complex microwave circuit and the antenna, the general analog design, the designer only repeated tuning parameters to obtain the simulation results, it is time-consuming and labor . Particle swarm optimization (Particle Swarm Optimization, PSO) can search for global optimum, with optimized properties, applied to electromagnetic simulation software IE3D or HFSS, in accordance with the specification requirements of wireless communications antennas, antenna parameters simply enter to carry out design optimization to find the best antenna structure.
Appears in Collections:	[Executive Master of Communication Engineering] Electronic Thesis & Dissertation

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