Adaptive frequency sampling using linear Bayesian vector fitting
- Author
- Simon De Ridder, Dirk Deschrijver (UGent) , Domenico Spina (UGent) , Tom Dhaene (UGent) and Dries Vande Ginste (UGent)
- Organization
- Abstract
- The authors present a novel Bayesian approach to adaptively select frequency samples to obtain a rational macromodel of device responses over a broad frequency range while performing as few electromagnetic simulations as possible. The method leverages a Bayesian approach to vector fitting to construct a data-driven uncertainty measure. The presented technique is demonstrated by application to a double semi-circular patch antenna and is shown to accurately and efficiently construct a rational macromodel over the frequency range of interest.
- Keywords
- ALGORITHM, Bayes methods, microstrip antennas, vectors, electromagnetic, simulations, double semicircular patch antenna, rational macromodel, adaptive frequency sampling, adaptively select frequency samples, linear, Bayesian vector fitting approach, measurement uncertainty
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8601118
- MLA
- De Ridder, Simon, et al. “Adaptive Frequency Sampling Using Linear Bayesian Vector Fitting.” ELECTRONICS LETTERS, vol. 55, no. 2, Inst Engineering Technology-iet, 2019, pp. 74–76, doi:10.1049/el.2018.6668.
- APA
- De Ridder, S., Deschrijver, D., Spina, D., Dhaene, T., & Vande Ginste, D. (2019). Adaptive frequency sampling using linear Bayesian vector fitting. ELECTRONICS LETTERS, 55(2), 74–76. https://doi.org/10.1049/el.2018.6668
- Chicago author-date
- De Ridder, Simon, Dirk Deschrijver, Domenico Spina, Tom Dhaene, and Dries Vande Ginste. 2019. “Adaptive Frequency Sampling Using Linear Bayesian Vector Fitting.” ELECTRONICS LETTERS 55 (2): 74–76. https://doi.org/10.1049/el.2018.6668.
- Chicago author-date (all authors)
- De Ridder, Simon, Dirk Deschrijver, Domenico Spina, Tom Dhaene, and Dries Vande Ginste. 2019. “Adaptive Frequency Sampling Using Linear Bayesian Vector Fitting.” ELECTRONICS LETTERS 55 (2): 74–76. doi:10.1049/el.2018.6668.
- Vancouver
- 1.De Ridder S, Deschrijver D, Spina D, Dhaene T, Vande Ginste D. Adaptive frequency sampling using linear Bayesian vector fitting. ELECTRONICS LETTERS. 2019;55(2):74–6.
- IEEE
- [1]S. De Ridder, D. Deschrijver, D. Spina, T. Dhaene, and D. Vande Ginste, “Adaptive frequency sampling using linear Bayesian vector fitting,” ELECTRONICS LETTERS, vol. 55, no. 2, pp. 74–76, 2019.
@article{8601118,
abstract = {{The authors present a novel Bayesian approach to adaptively select frequency samples to obtain a rational macromodel of device responses over a broad frequency range while performing as few electromagnetic simulations as possible. The method leverages a Bayesian approach to vector fitting to construct a data-driven uncertainty measure. The presented technique is demonstrated by application to a double semi-circular patch antenna and is shown to accurately and efficiently construct a rational macromodel over the frequency range of interest.}},
author = {{De Ridder, Simon and Deschrijver, Dirk and Spina, Domenico and Dhaene, Tom and Vande Ginste, Dries}},
issn = {{0013-5194}},
journal = {{ELECTRONICS LETTERS}},
keywords = {{ALGORITHM,Bayes methods,microstrip antennas,vectors,electromagnetic,simulations,double semicircular patch antenna,rational macromodel,adaptive frequency sampling,adaptively select frequency samples,linear,Bayesian vector fitting approach,measurement uncertainty}},
language = {{eng}},
number = {{2}},
pages = {{74--76}},
publisher = {{Inst Engineering Technology-iet}},
title = {{Adaptive frequency sampling using linear Bayesian vector fitting}},
url = {{http://doi.org/10.1049/el.2018.6668}},
volume = {{55}},
year = {{2019}},
}
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