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Nested Space Mapping Technique for Design and Optimization of Complex Microwave Structures with Enhanced Functionality

Abstract

In this work, we discuss a robust simulation-driven methodology for rapid and reliable design of complex microwave/RF circuits with enhanced functionality. Our approach exploits nested space mapping (NSM) technology, which is dedicated to expedite simulation-driven design optimization of computationally demanding microwave structures with complex topologies. The enhanced func-tionality of the developed circuits is achieved by means of slow-wave resonant structures (SWRSs), used as replacement components for conventional transmis-sion lines. The NSM is a hierarchical, bottom-up methodology, in which the inner space mapping layer is applied to improve generalization capabilities of the equivalent circuit constructed on the SWRS level, whereas the outer layer is used to enhances the surrogate model of the entire structure of interest. We demonstrate that the NSM significantly improves the performance of traditional surrogate-based optimization routines applied to the design problem of computationally expensive microwave/RF structures with modular topology. The proposed technique is used to design three exemplary microwave/RF circuits with enhanced functionality: two abbreviated microstrip matching transformers and a miniaturized rat-race coupler with harmonic suppression. We also provide a comprehensive comparison with other surrogate-assisted methods, as well as supply the reader with basic design guidelines for the state-of-the-art SWRS-based microwave/RF circuits.

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Details

Category:
Monographic publication
Type:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:
W : Solving Computationally Expensive Engineering Problems strony 53 - 86
Language:
English
Publication year:
2014
Bibliographic description:
Kozieł S., Bekasiewicz A., Kurgan P.: Nested Space Mapping Technique for Design and Optimization of Complex Microwave Structures with Enhanced Functionality// W : Solving Computationally Expensive Engineering Problems/ ed. S. Koziel, L. Leifsson, X.-S. Yang New York: Springer, 2014, s.53-86
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-319-08985-0_3
Verified by:
Gdańsk University of Technology

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