用FGA设计HDGS带阻滤波器

Dong Yan, Xiaoping Zeng, Kai Zhang
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引用次数: 5

摘要

提出了一种新的模糊遗传算法(FGA)来优化希尔伯特分形缺陷地面结构(HDGS),并设计了带阻滤波器。通过模糊控制器对遗传算子(交叉和变异)进行自适应调整,提高了算法的收敛性和全局寻优性。适应度函数由HDGS阻带和通带传输特性S21构造。S21是用PML- FDTD方法得到的。以500M-3GHz频带中心频率2.4GHz、200MHz带宽为目标,设计了带阻滤波器。仿真结果表明,该方法比传统的遗传算法收敛速度更快,并且设计的HDGS带阻滤波器具有大的阻带插入损耗和回波损耗,平坦的通带特性。
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HDGS bandstop filter design by FGA
A new fuzzy genetic algorithm (FGA) is developed to optimize Hilbert fractal defected ground structure (HDGS), designed bandstop filter. The genetic operators (crossover and mutation) are self-adaptively adjusted by fuzzy controller of the algorithm, so convergent character and global optimization are improved. Fitness function is constructed by the HDGS stopband and pass-band transmission characteristics S21. S21 is obtained by using PML- FDTD method. To 500M-3GHz band center frequency of 2.4GHz, 200MHz bandwidth, the band stop filter is designed to target. The simulation results show that this method than the traditional genetic algorithm, faster convergence rate, and bandstop filter designed HDGS with large stop-band insertion loss and return loss, flat pass-band characteristics.
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