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Tuning of geometry parameters is one of the essential stages of contemporary antenna design. It is necessary because available design methods, whether based on theoretical considerations or on engineering experience, are only capable of yielding initial designs that need further adjustment in order to boost the performance parameters as much as possible. Numerical optimization is also imperative for...
Design of contemporary microwave circuits is a challenging task. Typically, it has to take into account several performance requirements and constraints. The design objectives are often conflicting and their simultaneous improvement may not be possible; instead, compromise solutions are to be sought. Representative examples are miniaturized microwave passives where reduction of the circuit size has...
Design of high‐frequency structures, including microwave and antenna components, heavily relies on full‐wave electromagnetic (EM) simulation models. Their reliability comes at a price of a considerable computational cost. This may lead to practical issues whenever numerous EM analyses are to be executed, e.g., in the case of parametric optimization. The difficulties entailed by massive simulations...
This work addresses geometry parameter scaling of multiband antennas for Internet of Things applications. The presented approach is comprehensive and permits redesign of the structure with respect to both the operating frequencies and material parameters of the dielectric substrate. A two‐step procedure is developed with the initial design obtained from an inverse surrogate model constructed using...
The major bottleneck of electromagnetic (EM)‐driven antenna design is the high CPU cost of massive simulations required by parametric optimization, uncertainty quantification, or robust design procedures. Fast surrogate models may be employed to mitigate this issue to a certain extent. Unfortunately, the curse of dimensionality is a serious limiting factor, hindering the construction of conventional...
This paper addresses the problem of fast statistical analysis of low‐sidelobe linear arrays with microstrip corporate feeds using surrogate‐assisted methods. Tolerances normally lead to a degradation of array performance with respect to circuit and radiation pattern characteristics. Tolerances may be pertinent to array elements, spacing, feed dimensions, and microstrip substrate parameters. Sidelobe...
In this work, we discuss a methodology for rapid statistical analysis of antenna structures. The approach exploits response features, which are appropriately selected characteristic points of the antenna response that are important to determine satisfaction/violation of given performance requirements. As the dependence of the feature point coordinates on antenna geometry parameters is much less nonlinear...
One of the important prerequisites for efficient design optimization of microwave structures is availability of fast yet reliable replacement models (surrogates) so that multiple evaluations of the structure at hand can be executed in reasonable timeframe. Direct utilization of full‐wave electromagnetic (EM) simulations for handling optimization‐related tasks is often prohibitive. A popular approach...
A reliable methodology for accurate modeling of microwave filter is presented. Our approach exploits co‐kriging that utilizes low‐fidelity and high‐fidelity electromagnetic simulation data and combines them into a single surrogate model. Densely sampled low‐fidelity data determine a trend function, which is further corrected by sparsely sampled high‐fidelity simulations. Low‐fidelity electromagnetic...
Space mapping (SM) is one of the most popular techniques for creating computationally cheap and reasonably accurate surrogates of electromagnetic‐simulated microwave structures (so‐called fine models) using underlying coarse models, typically equivalent circuits. One of the drawbacks of SM is that although good modeling accuracy can be obtained using a limited number of training points, SM is not...
A technique for accurate modeling of microwave components is presented. Our methodology exploits a recently introduced shape‐preserving response prediction (SPRP) technology, which is adopted here to work directly with electromagnetic simulation data of the device under consideration. Unlike in original SPRP, no low‐fidelity model is used, which simplifies implementation and makes our method applicable...
We present an accurate modeling technique that exploits standard space mapping (SM) as a trend function and the correction layer implemented with kriging. The kriging process allows us to efficiently utilize all available fine model data (not possible in the standard SM approach) and to obtain accuracy better than both the SM and recently published combinations of SM and radial basis function interpolation...
We describe an improvement of a recent space mapping (SM) modeling approach that uses variable weight coefficients (SM‐VWC). Our modification alleviates the main drawback of SM‐VWC: the computational overhead related to a separate parameter extraction required for each evaluation of the surrogate model. In our new procedure, the output SM parameters of the surrogate model are obtained by solving a...
We review the latest developments in space‐mapping‐based modeling techniques with applications in microwave engineering. We discuss the two techniques that utilize a combination of standard space mapping and function approximation methodologies, in particular fuzzy systems and support vector regression (SVR). In both cases, the initial space‐mapping model is enhanced by an additional term that approximates...
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