分形几何:小型化平面微波滤波器设计的理想选择

H. Ziboon, Jawad K. Ali
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引用次数: 2

摘要

各种分形几何具有自相似性和空间填充性。空间填充特性已成功应用于多种多功能无线系统的多波段天线结构设计。另一方面,第二个特性在小型化天线和包括带通滤波器(BPF)在内的无源微波电路的制造中也证明了它的有效性。本章演示了基于分形DGS谐振器的小型化微带bpf的设计。许多基于Minkowski分形DGS谐振器的微带bpf将与基于Moore和Peano分形几何的微带bpf一起提出。仿真结果表明,随着迭代级别的提高,可以获得额外的尺寸缩减。实测和仿真结果吻合较好。并与其他基于Peano和Hilbert分形几何的滤波器进行了比较。结果表明,所提出的BPF具有良好的性能,并且显著降低了高次谐波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fractal Geometry: An Attractive Choice for Miniaturized Planar Microwave Filter Design
Various fractal geometries are characterized by the self-similarity and space-filling properties. The space-filling feature has been successfully applied to design multiband antenna structures for a wide variety of multifunction wireless systems. On another hand, the second feature has proved its validity to produce miniaturized antennas and passive microwave circuits including the band-pass filters (BPF). This chapter demonstrates the design of miniaturized microstrip BPFs that are derived from fractal-based DGS resonators. Many microstrip BPFs based on the Minkowski fractal DGS resonators will be presented together with those based on Moore and Peano fractal geometries. Simulation results, of all of the presented BPFs, show that an extra-size reduction can be obtained as the iteration level becomes higher. Measured and simulated results agree well with each other. A comparison has been conducted with other filters based on Peano and Hilbert fractal geometries. The results reveal that the proposed BPF offers acceptable performance and a significant decrease of higher harmonics.
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