Robust Parameter Tuning of Antenna Structures by Means of Design Specification Adaptation

Koziel, Slawomir; Pietrenko‐Dabrowska, Anna

doi:10.1109/tap.2021.3083792

Cited by 14 publications

(3 citation statements)

References 38 publications

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“…Surrogate-based methods are applied for both local 52 , 90 – 93 and global optimization 53 – 55 , but also multi-criterial design 56 – 59 , and uncertainty quantification 60 – 62 . In terms of reliability improvements, in some cases combined with acceleration, some of the worth-mentioning techniques include efficient global optimizers (EGO) 63 , machine learning frameworks 64 , response feature technology 65 , cognition-driven design 66 , frequency-based regularization 67 , or adaptive design specification strategies 68 . Some of these approaches aim at facilitating exploration of the parameter space 63 , 69 , whereas others alleviate the difficulties pertinent to local routines (e.g., sensitivity to initial design 67 , 68 ).…”

Section: Introductionmentioning

confidence: 99%

Rapid and reliable re-design of miniaturized microwave passives by means of concurrent parameter scaling and intermittent local tuning

Kozieł

Pietrenko‐Dabrowska

2023

Sci Rep

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Re-design of microwave passive components for the assumed operating frequencies or substrate parameters is an important yet a tedious process. It requires simultaneous tuning of relevant circuit variables, often over broad ranges thereof, to ensure satisfactory performance of the system. If the operating conditions at the available design are distant from the intended ones, local optimization is typically insufficient, whereas global search entails excessive computational expenses. The problem is aggravated for miniaturized components, typically featuring large numbers of geometry parameters. Furthermore, owing to their tightly-arranged layouts, compact structures exhibit considerable cross-coupling effects. In order to reliably evaluate electrical characteristics under such conditions full-wave electromagnetic (EM) analysis is mandatory. Needless to say, EM-driven design over broad ranges of operating frequencies is an arduous and costly endeavor. In this paper, we introduce a novel procedure for rapid and reliable re-design of microwave passives. Our methodology involves concurrent scaling of geometry parameters interleaved with local (gradient-based) tuning. The scaling stage allows for low-cost relocation of the operating frequencies of the circuit, whereas the optimization stage ensures continuous (iteration-wise) alignment of the performance figures with their target values. The presented framework is validated using several miniaturized microstrip couplers, re-designed over extended ranges of the center frequencies. For all considered structures, satisfactory designs are successfully identified despite the initial designs being distant from the targets, whereas local tuning turns out to be demonstrably inferior. Apart from its efficacy, one of the most important advantages of the proposed framework is its simplicity, and the lack of problem-dependent control parameters.

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Section: Introductionmentioning

confidence: 99%

Rapid and reliable re-design of miniaturized microwave passives by means of concurrent parameter scaling and intermittent local tuning

Kozieł

Pietrenko‐Dabrowska

2023

Sci Rep

Self Cite

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“…Antenna engineers often exploit their previous empirical knowledge when fully describing a structure with a set of parameters which are further optimized by simple parametric sweeps or surrogate-based modeling [4] in combination with local [5] or global optimization methods [6]. The reliability and efficiency of these methods are successfully being improved by the community, e.g., by achieving immunity to poor initial designs [7].…”

Section: Introductionmentioning

confidence: 99%

Density-Based Topology Optimization in Method of Moments: Q-Factor Minimization

Tucek,

Capek,

Jelinek

et al. 2023

IEEE Trans. Antennas Propagat.

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Classical gradient-based density topology optimization is adapted for method-of-moments numerical modeling to design a conductor-based system attaining the minimal antenna Q-factor evaluated via an energy stored operator. Standard topology optimization features are discussed, e.g., interpolation scheme and density and projection filtering. The performance of the proposed technique is demonstrated in a few examples in terms of the realized Q-factor values and necessary computational time to obtain a design. The optimized designs are compared to the fundamental bound and well-known empirical structures. The presented framework can provide a completely novel design, as presented in the second example.

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“…On the other hand, the difference patterns should be also optimized to ensure low sidelobe levels in order to suppress the undesired interfering signals that could affect the angular estimate of the target's location. There are many techniques in the literature that deal with such requirements, for example [9]- [11]. To cope with the requirements of optimal sum and difference patterns, ideally separate optimizations of two independent element weight vectors are needed [12].…”

Section: Introductionmentioning

confidence: 99%

Joint Optimization of Sum and Difference Patterns with a Common Weight Vector Using the Genetic Algorithm

Mohammed¹,

Aljaf²

2022

JTIT

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A monopulse searching and tracking radar antenna array with a large number of radiating elements requires a simple and efficient design of the feeding network. In this paper, an effective and versatile method for jointly optimizing the sum and difference patterns using the genetic algorithm is proposed. Moreover, the array feeding network is simplified by attaching a single common weight to each of its elements. The optimal sum pattern with the desired constraints is first generated by independently optimizing amplitude weights of the array elements. The suboptimal difference pattern is then obtained by introducing a phase displacement π to half of the array elements under the condition of sharing some sided elements weights of the sum mode. The sharing percentage is controlled by the designer, such that the best performance can be met. The remaining uncommon weights of the difference mode represent the number of degrees of freedom which create a compromise difference pattern. Simulation results demonstrate the effectiveness of the proposed method in generating the optimal sum and suboptimal difference patterns characterized by independently, partially, and even fully common weight vectors.

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Robust Parameter Tuning of Antenna Structures by Means of Design Specification Adaptation

Cited by 14 publications

References 38 publications

Rapid and reliable re-design of miniaturized microwave passives by means of concurrent parameter scaling and intermittent local tuning

Rapid and reliable re-design of miniaturized microwave passives by means of concurrent parameter scaling and intermittent local tuning

Density-Based Topology Optimization in Method of Moments: Q-Factor Minimization

Joint Optimization of Sum and Difference Patterns with a Common Weight Vector Using the Genetic Algorithm

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