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In this paper, a methodology for fast re-design of antenna structures with respect to substrate parameters has been presented. The key component of our technique is an inverse surrogate model that is constructed using reference designs representing optimum antenna geometries for selected values of the substrate permittivity and thicknesses. The surrogate returns the values of antenna dimensions corresponding...
Computationally efficient design optimization of dualband microstrip couplers is demonstrated using an adaptive response scaling (ARS) technique. ARS allows for constructing a fast surrogate of the high-fidelity EM-simulation model of the coupler structure under design using its equivalent circuit as an underlying low-fidelity model. ARS relies on nonlinear frequency/amplitude response scaling that...
In this work, a cost-efficient approach to surrogate modeling of input characteristics of dual-band antennas is presented. Reduction of the number of necessary training samples is achieved by constructing the surrogate at the level of suitably defined characteristic points of the antenna response, which exhibits less nonlinear behavior (as a function of antenna geometry parameters) compared to S-parameters...
Fast scaling of geometry parameters that allows finding the structure dimensions for various operating frequencies is important to expedite the antenna design process. In this paper, we address the scaling problem for dual-band antennas so that optimum dimensions ensuring that the antenna operates at the two frequencies of choice can be obtained at minimum cost. Our approach exploits inverse surrogate...
In the paper, a novel topology of a miniaturized wideband dual-band rat-race coupler has been presented. Small size of the circuit has been obtained by meandering transmission lines of the conventional circuit. At the same time, the number of independent geometry parameters has been increased in order to secure sufficient circuit flexibility in the context of its design optimization for dual-band...
In this paper, reduced-cost design optimization of dual-band antennas is investigated. The primary challenge here is the necessity of independent yet simultaneous handling of the antenna responses at two frequency bands. In order to alleviate this difficulty, a feature-based optimization approach is adopted where the design objectives are formulated in terms of the coordinates of suitably defined...
In this paper, computationally efficient design optimization of a miniaturized dual-band microstrip branch-line coupler is presented. Our optimization approach relies on suitably extracted features of a highly nonlinear response of the coupler structure under design. By formulating the design objectives in terms of the feature point locations, we carry out iterative optimization of the linear model...
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