Fast Optimization of Hairpin Filters Using Model-Based Deviation Estimation

被引：0
|
作者：
He, Xuan [1 ]
Xu, Xi-Qing [1 ]
Zhou, Jian-Yi [1 ]
机构：
[1] Southeast Univ, State Key Lab Millimeter Waves, Nanjing 211189, Peoples R China
来源：
2020 IEEE ASIA-PACIFIC MICROWAVE CONFERENCE (APMC) | 2020年
关键词：
hairpin filters; analytical mode; Electromagnetic (EM) optimization; MATRIX;
D O I：
10.1109/APMC47863.2020.9331556
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：
A fast electromagnetic optimization method for hairpin filters using model-based deviation estimation is presented in this paper. An analytical mapping model between the feature parameters and the physical dimensions of the hairpin filters is established. The design dimension errors are converted from the feature parameter deviations by using the Jacobian matrix of the general model. A five order hairpin filter is demonstrated, which converges after six iterations.
引用
收藏
页码：1045 / 1047
页数：3
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