Efficient Yield Estimation of Multiband Patch Antennas Using NLPLS-Based PCE

Klink, Dieter; Meyer, P.; Steyn, Werner

doi:10.1109/tap.2021.3138496

Cited by 6 publications

(8 citation statements)

References 26 publications

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“…Performing only source stirring or platform stirring leads to a biased estimation of the radiation efficiency. [28] Efficient yield estimation of multiband patch antennas using NLPLS-based PCE.…”

Section: Gain Estimation Methodsmentioning

confidence: 99%

Resonance Analysis and Gain Estimation Using CMA-Based Even Mode Combination Method for Flexible Wideband Antennas

Elias¹,

Soh

2023

Sensors

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This work presents an efficient design and optimization method based on characteristic mode analysis (CMA) to predict the resonance and gain of wideband antennas made from flexible materials. Known as the even mode combination (EMC) method based on CMA, the forward gain is estimated based on the principle of summing the electric field magnitudes of the first even dominant modes of the antenna. To demonstrate its effectiveness, two compact, flexible planar monopole antennas designed on different materials and two different feeding methods are presented and analyzed. The first planar monopole is designed on Kapton polyimide substrate and fed using a coplanar waveguide to operate from 2 to 5.27 GHz (measured). On the other hand, the second antenna is designed on felt textile and fed using a microstrip line to operate from about 2.99 to 5.57 GHz (measured). Their frequencies are selected to ensure their relevance in operating across several important wireless frequency bands, such as 2.45 GHz, 3.6 GHz, 5.5 GHz, and 5.8 GHz. On the other hand, these antennas are also designed to enable competitive bandwidth and compactness relative to the recent literature. Comparison of the optimized gains and other performance parameters of both structures are in agreement with the optimized results from full wave simulations, which process is less resource-efficient and more iterative.

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Section: Gain Estimation Methodsmentioning

confidence: 99%

Resonance Analysis and Gain Estimation Using CMA-Based Even Mode Combination Method for Flexible Wideband Antennas

Elias¹,

Soh

2023

Sensors

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“…Klink et al showed the use of PCE for yield analysis of a 4-parameter quad-mode antenna using the reflection coefficient as the performance metric. For a detailed explanation of this method, the reader is referred to [3][4]. Another widely used metamodeling method is referred to as Kriging (Gaussian process modelling).…”

Section: Introductionmentioning

confidence: 99%

“…Although PC-Kriging is less computationally intensive compared to standalone PCE and Kriging techniques, large numbers of samples (model evaluations) are required as the dimensionality of the problem increases. In [4], PC-Kriging required more samples for yield convergence.…”

Section: Introductionmentioning

confidence: 99%

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Yield and Sensitivity Analysis of Multi-Element Antenna Arrays Using the Non-Linear Partial Least-Squares Polynomial Chaos Expansion Technique

Nfanyana,

Johnson,

Meyer

2023

5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering

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The Square Kilometre Array Mid-Frequency Aperture Array (SKA MFAA) uses a high number of similar elements in order to meet astronomical requirements. The Log-Periodic Dipole Antenna (LPDA) is one of the candidate elements for implementation of the MFAA. A single LPDA antenna consists of four sub-elements differentially fed, so only two sub-elements are active for a single excitation. 6.5 million LPDA elements will be required for implementation of the MFAA. Therefore, determination of yield is important for the SKA MFAA as the elements are not modified after manufacturing. In analysis of yield, this antenna presents a high dimensional problem with 185 and 93 system parameters for the full and half models, respectively. The Non-Linear Partial Least-Squares based Polynomial Chaos Expansion (NLPLS-based PCE) was recently shown as an excellent way of calculating yield for high dimensional electromagnetic structures. Klink et al. validated the use of NLPLS-based PCE for yield analysis of a 37-variable diplexer, requiring only 30 full 3D electromagnetic analysis frequency sweeps instead of thousands required by Monte Carlo (MC) analysis [4].In this paper, NLPLS-based PCE is implemented for estimation of yield and sensitivity of the SKA MFAA LPDA antenna. The yield specification for this problem requires that the reflection coefficient must be below -7 dB across the MFAA's band, i.e., 450 -1450 MHz. The LPDA antenna attained 64 percent yield requiring 80 frequency sweeps while MC analysis required 300 analysis points. Furthermore, for the first time, curvature and rotation of antenna elements are considered in determination of yield.

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“…Improving the computational efficiency of statistical analysis can be achieved using simplistic yet inaccurate methods (e.g., worst-case analysis [19][20][21]) or surrogate-assisted techniques [22,23], where repetitive EM simulations are replaced by an evaluation of a fast replacement model, usually prepared beforehand. Popular modeling methods include polynomial approximation [24], neural networks (NNs) [25,26], or polynomial chaos expansion (PCE) [27][28][29][30][31][32][33]. Despite their advantages, surrogate-based methods are affected by the curse of dimensionality, resulting in excessive costs of model rendition for more complex systems.…”

Section: Introductionmentioning

confidence: 99%

Performance-Driven Yield Optimization of High-Frequency Structures by Kriging Surrogates

Koziel

Pietrenko‐Dabrowska

2022

Applied Sciences

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Uncertainty quantification is an important aspect of engineering design, as manufacturing tolerances may affect the characteristics of the structure. Therefore, the quantification of these effects is indispensable for an adequate assessment of design quality. Toward this end, statistical analysis is performed, for reliability reasons, using full-wave electromagnetic (EM) simulations. Still, the computational expenditures associated with EM-driven statistical analysis often turn out to be unendurable. Recently, a performance-driven modeling technique has been proposed that may be employed for uncertainty quantification purposes and can enable circumventing the aforementioned difficulties. Capitalizing on this idea, this paper discusses a procedure for fast and simple surrogate-based yield optimization of high-frequency structures. The main concept of the approach is a tailored definition of the surrogate domain, which is based on a couple of pre-optimized designs that reflect the directions featuring maximum variability of the circuit responses with respect to its dimensions. A compact size of such a domain allows for the construction of an accurate metamodel therein using moderate numbers of training samples, and subsequently, it is employyed to enhance the yield. The implementation details are dedicated to a particular type of device. Results obtained for a ring-slot antenna and a miniaturized rat-race coupler imply that the cost of yield optimization process can be reduced to few dozens of EM analyses.

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Efficient Yield Estimation of Multiband Patch Antennas Using NLPLS-Based PCE

Cited by 6 publications

References 26 publications

Resonance Analysis and Gain Estimation Using CMA-Based Even Mode Combination Method for Flexible Wideband Antennas

Resonance Analysis and Gain Estimation Using CMA-Based Even Mode Combination Method for Flexible Wideband Antennas

Yield and Sensitivity Analysis of Multi-Element Antenna Arrays Using the Non-Linear Partial Least-Squares Polynomial Chaos Expansion Technique

Performance-Driven Yield Optimization of High-Frequency Structures by Kriging Surrogates

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