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Fast multi-objective design optimization of compact microstrip impedance transformers is discussed. Our approach exploits approximation models constructed using sampled coarse-mesh EM simulation data in a partitioned design space and response correction techniques for design refinement. Demonstration example of a 50-to-130 ohm wideband transformer is provided.
In this paper, a novel technique for fast multi-objective design optimization of antenna structures has been presented. In our approach, the initial approximation of the Pareto front is obtained using a bisection algorithm which performs sequential partitioning of the design space and refines the new designs by means of poll-type search involving Pareto ranking. This stage of the optimization process...
A numerical study concerning multi-objective optimization of antenna structures using sequential domain patching (SDP) technique has been presented. We investigate the effect of various setups of the patch size on the operation of the SDP algorithm and possible trade-offs concerning the quality of the Pareto set found by SDP and the computational cost of the optimization process. Our considerations...
A framework for low-cost EM-driven design optimization of compact impedance matching transformers is presented. Our technique is based on a bottom-up design where design requirements for the transformer circuit are translated into specifications for its building blocks. These elementary cells are optimized using response features. Subsequently, the entire circuit is fine-tuned using local response...
In the paper, a procedure for low-cost multi-objective optimization of antenna structures is presented. Our approach is based on exploration of the Pareto front representing the best possible trade-offs between conflicting objectives, here, the structure size and its electrical performance. Starting from the design representing the best in-band reflection level, subsequent Pareto-optimal designs are...
In the paper, a concept and design of a compact MIMO antenna is presented. In our approach, an improved space filling is obtained by constraining an individual antenna layout and optimizing it for minimum size. The MIMO design is constructed by composing the two of previously designed structures. Because the design problem is heavily constrained both in terms of geometry and electrical performance...
Expedited design optimization of compact microwave structures using adjoint sensitivities and space mapping (SM) is proposed. For the sake of computational efficiency and good generalization capability, we utilize coarse-discretization electromagnetic (EM) simulation models which are suitably corrected using SM. The mapping parameters are evolving together with the design itself (no fully converged...
Multi-objective optimization of a quasi-isotropic dielectric resonator antenna (DRA) is presented. Utilization of variable-fidelity electromagnetic (EM) DRA models, response surface approximations, and response correction techniques, allows us to obtain—at a low computational cost—a set of alternative antenna designs representing the best possible trade-offs between three conflicting objectives: antenna...
Computationally efficient and reliable procedure for antenna design using electromagnetic (EM) simulation models is proposed. Our approach exploits trust-region-based gradient search and adjoint sensitivities for fast derivative evaluation. Derivative data allows for constructing the approximation model of the antenna responses. Computational cost of the design process can be further reduced by utilizing...
Rapid multi-objective design optimization of ultrawideband (UWB) multiple-input-multiple-output (MIMO) antenna is presented. Our approach allows for finding the best possible design trade-offs (a so-called Pareto set) with respect to the two objectives: minimization of the reflection coefficient and reduction of the antenna footprint. Computational efficiency is obtained by using variable-fidelity...
A novel structure concept of a compact UWB monopole antenna is introduced together with a low-cost design optimization procedure. Reduced footprint is achieved by introduction of a protruded ground plane for current path increase and a matching transformer to ensure wideband impedance matching. All geometrical parameters of the structure are optimized simultaneously by means of surrogate based optimization...
In this work, design of small antennas using efficient numerical optimization is investigated. We exploit variable-fidelity electromagnetic (EM) simulations and the adaptively adjusted design specifications (AADS) technique. Combination of these methods allows us to simultaneously adjust multiple geometry parameters of the antenna structure of interest in a computationally feasible manner, leading...
Feasible multi-objective optimization of antenna structures is presented. An initial set of Pareto optimal solutions is found using a multi-objective evolutionary algorithm (MOEA) working with a fast surrogate antenna model obtained by kriging interpolation of coarse-discretization EM simulation data. To make the surrogate construction computationally feasible in multi-dimensional design space, the...
A novel structure of a small UWB monopole antenna is presented. In our approach, a compact size is achieved by means of a meander line for current path enlargement as well as the two parameterized slits that introduce additional degrees of freedom helping to ensure good impedance matching. The antenna design is carried out using surrogate-based optimization involving variable-fidelity EM simulations...
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