Cost‐efficient performance‐driven modelling of multi‐band antennas by variable‐fidelity electromagnetic simulations and customized space mapping

Author(s):  
Slawomir Koziel ◽  
Anna Pietrenko‐Dabrowska
2019 ◽  
Vol 182 ◽  
pp. 37-39
Author(s):  
Rodion Skovoroda ◽  
Alistair Bruce ◽  
Trevor Buck ◽  
Ian Gregory-Smith

2015 ◽  
Vol 51 ◽  
pp. 905-913 ◽  
Author(s):  
Ingi M. Jonsson ◽  
Leifur Leifsson ◽  
Slawomir Koziel ◽  
Yonatan A. Tesfahunegn ◽  
Adrian Bekasiewicz

2018 ◽  
Vol 81 ◽  
pp. 64-84 ◽  
Author(s):  
Ping Jiang ◽  
Tingli Xie ◽  
Qi Zhou ◽  
Xinyu Shao ◽  
Jiexiang Hu ◽  
...  

Micromachines ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1341
Author(s):  
Piotr Kurgan

High-performance and small-size on-chip inductors play a critical role in contemporary radio-frequency integrated circuits. This work presents a reliable surrogate modeling technique combining low-fidelity EM simulation models, response surface approximations based on kriging interpolation, and space mapping technology. The reported method is useful for the development of broadband and highly accurate data-driven models of integrated inductors within a practical timeframe, especially in terms of the computational expense of training data acquisition. Application of the constructed surrogate model for rapid design optimization of a compact on-chip inductor is demonstrated. The optimized EM-validated design solution can be reached at a low computational cost, which is a considerable improvement over existing approaches. In addition, this work provides a description and illustrates the usefulness of a multi-fidelity design optimization method incorporating EM computational models of graduated complexity and local polynomial approximations managed by an output space mapping optimization framework. As shown by the application example, the final design solution is obtained at the cost of a few high-fidelity EM simulations of a small-size integrated coil. A supplementary description of variable-fidelity EM computational models and a trade-off between model accuracy and its processing time complements the work.


2013 ◽  
Vol 61 (3) ◽  
pp. 1301-1308 ◽  
Author(s):  
Slawomir Koziel ◽  
Stanislav Ogurtsov ◽  
Ivo Couckuyt ◽  
Tom Dhaene

Sign in / Sign up

Export Citation Format

Share Document