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植入基於粒子群優演算法之最佳化雙頻迴路天線設計

Optimal dual-band Design of the Loop Antenna Using Particle Swarm Optimization

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摘要


本文提出植入基於粒子群優演算法之最佳化雙頻迴路天線設計之探討,利用粒子群優演算法(Particle Swarm Optimizations, PSO)搭配Zeland IE3D模擬軟體,經由反覆更新和疊帶來求得最佳的天線結構之設計參數。在本文中,此雙頻迴路天線的最佳化設計是定義在其操作頻率要能涵蓋全球通訊系統850、900(Global System for Mobile Communication, GSM 850,824~896 MHz和GSM 900,890~960 MHz)、數位通訊系統(Digital Communication System, DCS 1800, 1710~1880 MHz)、及個人通訊系統(Personal Communications Services, PCS 1900, 1850~1990 MHz)等四個頻段,其中操作頻寬是以反射係數S11≤-6dB來定義。經由此演算法計算所得的最佳適應函數值高達92%,因此是一種良好的天線設計方法。

並列摘要


In this paper, we apply a particle swarm optimization (PSO) algorithm with Zeland IE3D electromagnetic simulation software to the optimal dual-band design of the loop antenna. The antenna parameters that need to be solved are first organized as a parameter vector, called the particle, and many such particles further form a population in the PSO-based antenna optimization process. From the simulation results, the best value of the fitness function is about 92%, which means that the impedance bandwidth of the solving antenna is close to the expected one. It is also shown that with the PSO method the antenna can be quickly optimized to meet the typical bandwidth requirements for dual band applications.

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