Adaptive Synthesis for Resonator-Coupled Filters Based on Particle Swarm Optimization

被引：48

作者：

Luo, Xun ^{[1
]}

Yang, Bingzheng ^{[1
]}

Qian, Huizhen Jenny ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Ctr Integrated Circuits, Chengdu 610054, Sichuan, Peoples R China

来源：

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES | 2019年 / 67卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Adaptive synthesis; filter; particle swarm optimization (PSO); MICROWAVE FILTERS; PROTOTYPE FILTERS; BANDPASS-FILTERS; DESIGN; EXTRACTION;

D O I：

10.1109/TMTT.2018.2878197

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, an adaptive synthesis using the particle swarm optimization (PSO) for implementations of resonator-coupled filters is proposed. The coupling matrix of in-band filtering response is achieved and optimized by the PSO-based synthesis. Meanwhile, the stopband coupling matrix of the filter is predicted based on the combination of extra resonant nodes representing stopband spurious and parasitic effect of input/output ports. In addition, an enhanced accurate prediction of filter performance is calculated by the proposed approach, considering the practical fabrication tolerance on filter design. To verify principles mentioned earlier, various resonator-coupled filters are implemented. The calculation, EM-simulation, and measurement of filters show good agreements in both passband and stopband.

引用

页码：712 / 725

页数：14

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