標題: Simulation-based evolutionary method in antenna design optimization for WLAN and wireless communication applications
作者: Li, Yiming
Yu, Shao-Ming
Kuo, Yi-Ting
Lie, Yih-Lang
電信工程研究所
Institute of Communications Engineering
關鍵字: optimization;genetic algorithm;numerical method;antenna;Maxwell's equations;finite element method
公開日期: 2007
摘要: In this paper, a simulation-based optimization method for the design of antenna pattern applied for mobile broadcasting and the 802.11a WLAN is presented. Based on genetic algorithm (GA), numerical simulation, and unified optimization framework, the optimization methodology is proposed for the antenna design automation. A Z-shaped antenna is optimized with respect to the return loss by our method. Inspired by the scenario of GA for optical proximity correction in our earlier work, we firstly partition the edges of the antenna into segments, and then adjust the movements of each segment to construct the geometry of new antenna. The external simulator is then called to simulate and evaluate the performance of the new antenna. If the simulated results meet the specific constraints, we output the optimized antenna. Otherwise, the evolutionary algorithms will enable us to search solution again. Our preliminary results confirm the robustness and efficiency of the proposed simulation-based optimization method.
URI: http://hdl.handle.net/11536/7835
ISBN: 978-0-7354-0477-9
ISSN: 0094-243X
期刊: COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING VOL 1: THEORY AND COMPUTATION: OLD PROBLEMS AND NEW CHALLENGES
Volume: 963
起始頁: 659
結束頁: 670
Appears in Collections:Conferences Paper