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This work addresses the problem of simultaneous determination of circuit topology and geometry parameter values of recurrent slow-wave structures. Here, the considered slow-wave structures are specifically meant for use as building blocks of two-section branch-line couplers, whose size and bandwidth depend on the aforementioned parameters. The proposed design strategy exploits data-driven models of...
In this paper, multi-objective design of integrated spiral inductors is investigated. The method aims at finding the best possible trade-offs between inductor size and its quality factor. We adopt a penalty function approach to achieve a required inductance at a given operating frequency. The design process exploits a Pareto front exploration technique with trust-region-embedded gradient search as...
Reliable yet fast surrogate models are indispensable in the design of contemporary antenna structures. Data-driven models, e.g., based on Gaussian Processes or support-vector regression, offer sufficient flexibility and speed, however, their setup cost is large and grows very quickly with the dimensionality of the design space. In this paper, we propose cost-efficient modeling of antenna structures...
We present a technique for automated identification of the minimum acceptable mesh coarseness in electromagnetic (EM)-simulation models. Our approach is based on the projected evolution of feature selective validation (FSV) Global Difference Measure. It can be used to determine required EM model discretization levels for variable-fidelity EM-based optimization. Illustration using a UWB antenna is...
This work presents an accurate surrogate model of a planar inductor realized in a 65-nm CMOS technology. The main components of our modeling approach include coarse-discretization electromagnetic simulations, kriging interpolation, and space mapping. The surrogate model constructed this way is accurate over a broad frequency range and, as showcased by our examples, can be used to perform reliable...
In this paper, computationally efficient multi-objective optimization of antenna structures is discussed. As a design case, we consider a multi-parameter planar Yagi-Uda antenna structure, featuring a driven element, three directors, and a feeding structure. Direct optimization of the high-fidelity electromagnetic (EM) antenna model is prohibitive in computational terms. Instead, our design methodology...
Automated procedure for multi-level optimization of microwave structures is proposed. Our approach exploits variable-fidelity electromagnetic (EM) simulations, an efficient algorithm for optimizing simulation-based models built with local response surface approximations, as well as automated adjustment of model fidelity. Convergence of the procedure to the optimum design is ensured by defaulting to...
A reliable methodology for accurate modeling of microwave devices is presented. Our approach exploits co-kriging which utilizes low- and high-fidelity EM simulation data and combines them into a single surrogate model. Densely sampled low-fidelity data determines a trend function which is further corrected by sparsely sampled high-fidelity simulations. Low-fidelity EM data is also enhanced by using...
We review work relevant to the area covered by the transmission line matrix (TLM) method, including certain historical TLM developments and design parameter sensitivity analysis for time-domain simulations. We consider exact TLM sensitivity analysis, compare it with the finite difference approach, and demonstrate its use in accelerating design optimization. We discuss ways of using space-mapping concepts...
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