磁性材料及器件2024,Vol.55Issue(1) :31-36.DOI:10.19594/j.cnki.09.19701.2024.01.006

基于PCA-XGBoost算法的哑铃状SIR差分滤波器设计

Design of dumbbell-shaped SIR differential filter based on PCA-XGBoost algorithm

张友俊 徐雯雯
磁性材料及器件2024,Vol.55Issue(1) :31-36.DOI:10.19594/j.cnki.09.19701.2024.01.006

基于PCA-XGBoost算法的哑铃状SIR差分滤波器设计

Design of dumbbell-shaped SIR differential filter based on PCA-XGBoost algorithm

张友俊 1徐雯雯1
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作者信息

  • 1. 上海海事大学信息工程学院,上海 201306
  • 折叠

摘要

随着多业务无线通信技术的发展,具有共模抑制能力的差分带通滤波器越来越受到人们的关注,但是设计差分微带滤波器的传统方法过程复杂且耗时较长.针对这些问题,结合非线性赋权的极限梯度提升(eXtreme Gradient Boosting,XGBoost)算法,通过训练和学习滤波器结构参数和相应频率响应S参数的关系辅助进行滤波器的设计,设计了一款基于改进阶跃阻抗谐振器(Stepped Impedance Resonator,SIR)的哑铃状差分带通滤波器.该滤波器的中心频率为2.6GHz,相对带宽为7.3%,通带内插入损耗优于0.95dB,回波损耗优于20dB,通带内共模抑制优于42 dB,并且具有较宽的阻带.实物测试结果与算法预测结果的一致性,验证了 PCA-XGBoost算法(Principal Component Analysis,PCA)用于滤波器辅助设计的可行性.

Abstract

With the development of multi service wireless communication technology,the differential band-pass filter with common mode rejection capability has attracted more and more attention.However,the traditional method of designing differential microstrip filters is complex and long time consumption.To solve these problems,combined with the eXtreme Gradient Boosting(XGBoost)algorithm with nonlinear weighting,the filter is designed by training and learning the relationship between the filter structure parameters and the corresponding frequency response S parameters.A dumbbell-shaped differential band-pass filter based on the improved step impedance resonator(SIR)is designed.The central frequency of the filter is 2.6 GHz,the relative bandwidth is 7.3%,the insertion loss in the passband is better than 0.95 dB,the return loss is better than 20 dB,the common mode rejection in the passband is better than 42 dB,and the stopband is wide.The consistency between the physical test results and the algorithm prediction results verifies that PCA-XGBoost algorithm(Principal Component Analysis,PCA)can be used to assist in the design of filters.

关键词

哑铃状SIR谐振器/差分微带滤波器/PCA-XGBoost算法

Key words

dumbbell-shaped SIR resonator/differential microstrip filter/PCA-XGBoost algorithm

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基金项目

国家自然科学基金项目(61775196)

出版年

2024
磁性材料及器件
中国西南应用磁学研究所

磁性材料及器件

影响因子:0.358
ISSN:1001-3830
参考文献量14
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