基于遗传算法的微带天线优化

Abstract

Abstract:

Light in weight,small in size and easy to manufacture.Microstrip antennas are widely used in individual wireless communication.This article applies GA and HFSS-Matlab-API in the microstrip antennas optimization and presents an antennas optimization scheme based on GA and HFSS.The dimensions and feed position of the E-shaped Microsoft antenna are optimized to overcome the disadvantage of narrow bandwidth of microstrip antennas with a bandwidth increase from 5% to 30%.

Key words: GA;HFSS Matlab API;E-shaped microstrip antenna;bandwidth optimization

CLC Number:

TP301.6

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QU Peihua,WANG Wei,LIU Bobo. Microstrip Antenna Optimization Based on Genetic Algorithms[J]., 2013, 26(10): 16-.

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URL: https://journal.xidian.edu.cn/dzkj/EN/

https://journal.xidian.edu.cn/dzkj/EN/Y2013/V26/I10/16

References

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［6］YANG Fan,ZHANG Xuexia,YE Xiaoning.Wide-band e-shaped patch antennas for wireless communications［J］.IEEE Transactions on Antennas and Propagation,2001,49(7):1094-1100.

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［8］JIN N,YAHYA R S.Parallel particle swarm optimization and finite difference time domain(fdtd) algorithm for multiband and wide-band patch antenna designs［J］.IEEE Transactions on Antennas and Propagation,2005,53(11):3549-3468.

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