南方科技大学知识苑(SUSTech KC): A Tuning Method for Triple-Stub Tuner using Knowledge-Based Surrogate Model

题名	A Tuning Method for Triple-Stub Tuner using Knowledge-Based Surrogate Model
作者	Kuang, Yu1 ; Zhou, Liangkai1 ; Li, Song1,2 ; Fan, Xiaolin 1,2; Cheng, Qingsha S.1
DOI	10.1109/ICMMT45702.2019.8992397
发表日期	2019
ISBN	978-1-7281-2169-7
会议录名称	11th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2019
页码	1-3
会议日期	19-22 May 2019
会议地点	Guangzhou, China
出版者	Institute of Electrical and Electronics Engineers Inc.
摘要	In this paper, a novel tuning process is proposed for tuning triple-stub waveguide tuner. This processing is based on knowledge-based data-driven surrogate modeling technique. Tuning decision is made according to the calculation from the surrogate model. By applying the tuning method to these tested examples, all tested results demonstrate great reflection coefficient performance and low time cost. © 2019 IEEE.
关键词	surrogate modeling microwave network triple-stub tuner data-driven knowledge-based
学校署名	第一
相关链接	[IEEE记录]
收录类别	EI
资助项目	National Natural Science Foundation of China[61471258]
EI入藏号	20201008254667
EI主题词	Millimeter waves ; Tuners ; Tuning
EI分类号	Electromagnetic Waves:711 ; Expert Systems:723.4.1
来源库	EV Compendex
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8992397
引用统计	被引频次[WOS]：0
成果类型	会议论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/104898
专题	工学院_电子与电气工程系
作者单位	1.Southern University of Science and Technology, Department of Electrical and Electronic Engineering, Shenzhen, China 2.Faculty of Engineering and Applied Science, University of Regina, Canada
第一作者单位	电子与电气工程系
第一作者的第一单位	电子与电气工程系
推荐引用方式 GB/T 7714	Kuang, Yu,Zhou, Liangkai,Li, Song,et al. A Tuning Method for Triple-Stub Tuner using Knowledge-Based Surrogate Model[C]:Institute of Electrical and Electronics Engineers Inc.,2019:1-3.