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Fast multi-criterial statistical analysis and design optimization of compact microwave couplers

Abstract

—A rapid statistical analysis and yield estimation of compact microwave couplers involving multiple performance parameters has been presented. The analysis is realized using a fast surrogate model representing appropriate characteristic points of the coupler response. Because of less nonlinear dependence of the characteristic points on the structure geometry (compared to the original response, i.e., S-parameters vs. frequency), a small number of training points is necessary to setup a reliable surrogate. Our approach is demonstrated using a compact rat-race coupler and validated using direct EM-based Monte Carlo analysis. Accelerated yield optimization is also presented

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Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES) strony 1 - 2
Language:
English
Publication year:
2017
Bibliographic description:
Kozieł S., Bekasiewicz A..: Fast multi-criterial statistical analysis and design optimization of compact microwave couplers, W: 2017 International Applied Computational Electromagnetics Society Symposium - Italy (ACES), 2017, ,.
DOI:
Digital Object Identifier (open in new tab) 10.23919/ropaces.2017.7916033
Verified by:
Gdańsk University of Technology

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