Fast tolerance-aware design optimization of miniaturized microstrip couplers using variable-fidelity EM simulations and response features

Slawomir Koziel, Adrian Bekasiewicz

Rannsóknarafurð: Framlag til fræðitímaritsGreinritrýni

Útdráttur

Purpose: This paper aims to investigate the strategy for low-cost yield optimization of miniaturized microstrip couplers using variable-fidelity electromagnetic (EM) simulations. Design/methodology/approach: Usefulness of data-driven models constructed from structure frequency responses formulated in the form of suitably defined characteristic points for statistical analysis is investigated. Reformulation of the characteristics leads to a less nonlinear functional landscape and reduces the number of training samples required for accurate modeling. Further reduction of the cost associated with construction of the data-driven model, is achieved using variable-fidelity methods. Numerical case study is provided demonstrating feasibility of the feature-based modeling for low cost statistical analysis and yield optimization. Findings: It is possible, through reformulation of the structure frequency responses in the form of suitably defined feature points, to reduce the number of training samples required for its data-driven modeling. The approximation model can be used as an accurate evaluation engine for a low-cost Monte Carlo analysis. Yield optimization can be realized through minimization of yield within the data-driven model bounds and subsequent model re-set around the optimized design. Research limitations/implications: The investigated technique exceeds capabilities of conventional Monte Carlo-based approaches for statistical analysis in terms of computational cost without compromising its accuracy with respect to the conventional EM-based Monte Carlo. Originality/value: The proposed tolerance-aware design approach proved useful for rapid yield optimization of compact microstrip couplers represented using EM-simulation models, which is extremely challenging when using conventional approaches due to tremendous number of EM evaluations required for statistical analysis.

Upprunalegt tungumálEnska
Síður (frá-til)2983-2995
Síðufjöldi13
FræðitímaritEngineering Computations (Swansea, Wales)
Bindi36
Númer tölublaðs9
DOI
ÚtgáfustaðaÚtgefið - 19 nóv. 2019

Athugasemd

Publisher Copyright:
© 2019, Emerald Publishing Limited.

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