Computationally feasible narrow-band antenna modeling using response features

作     者：Koziel, Slawomir Bekasiewicz, Adrian 

作者机构：Reykjavik Univ Engn Optimizat & Modeling Ctr Sch Sci & Engn Menntavegur 1 IS-101 Reykjavik Iceland 

出 版 物：《INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING》 (国际射频与微波计算机辅助工程杂志)

年 卷 期：2017年第27卷第4期

页      面：[np]页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Icelandic Centre for Research (RANNIS) Grant National Science Centre of Poland [2014/15/B/ST7/04683] 

主　　题：antenna modeling computer-aided design feature-based modeling kriging interpolation 

摘      要：Accurate and low-cost models of input characteristics are of primary importance from the point of view of efficient design of antenna structures. Yet, the modeling problem is difficult because reflection responses are highly nonlinear functions of frequency and change considerably when adjusting antenna dimensions. Conventional approximation-based models require massive datasets and often fail to provide required accuracy. This work demonstrates a possibility of dramatic reduction of the number of training samples, which is achieved by reformulating the modeling problem in a space of appropriately defined response features. The key factor is that dependence of feature point coordinates (both frequency and level) on antenna dimensions is less nonlinear than for the standard responses (S-parameters vs. frequency). Our methodology permits construction of reliable surrogates using much smaller datasets than those required by conventional approaches. Experimental validation indicates that our models provide accuracy that is sufficient for practical antenna design.