Space Mapping Optimization of Handset Antennas Exploiting Thin-Wire Models

Tu, Sheng; Cheng, Qingsha S.; Zhang, Yifan; Nikolova, Natalia K.

doi:10.1109/tap.2013.2254695

Cited by 32 publications

(11 citation statements)

References 20 publications

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“…Unfortunately, fast low-fidelity models are rarely available for antenna structures: the only versatile way of creating these is coarse-mesh EM simulation. Relatively expensive low-fidelity models do not allow for the efficient use of some well-established SBO techniques, such as space mapping [34], but leave some room for other variable-fidelity approaches, e.g., response correction methods [35,36].…”

Section: Introductionmentioning

confidence: 99%

Variable-Fidelity Simulation Models and Sparse Gradient Updates for Cost-Efficient Optimization of Compact Antenna Input Characteristics

Koziel

Pietrenko‐Dabrowska

2019

Sensors

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Design of antennas for the Internet of Things (IoT) applications requires taking into account several performance figures, both electrical (e.g., impedance matching) and field (gain, radiation pattern), but also physical constraints, primarily concerning size limitation. Fulfillment of stringent specifications necessitates the development of topologically complex structures described by a large number of geometry parameters that need tuning. Conventional optimization procedures are typically too expensive when the antenna is evaluated using high-fidelity electromagnetic (EM) analysis, otherwise required to ensure accuracy. This paper proposes a novel surrogate-assisted optimization algorithm for computationally efficient design optimization of antenna structures. In the paper, the optimization of antenna input characteristic is presented, specifically, minimization of the antenna reflection coefficient in a given bandwidth. Our methodology involves variable-fidelity EM simulations as well as a dedicated procedure to reduce the cost of estimating the antenna response gradients. The latter is based on monitoring the variations of the antenna response sensitivities along the optimization path. The procedure suppresses the finite-differentiation-based sensitivity updates for variables that exhibit stable gradient behavior. The proposed algorithm is validated using three compact wideband antennas and demonstrated to outperform both the conventional trust region algorithm and the pattern search procedure, as well as surrogate-based procedures while retaining acceptable design quality.

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Section: Introductionmentioning

confidence: 99%

Variable-Fidelity Simulation Models and Sparse Gradient Updates for Cost-Efficient Optimization of Compact Antenna Input Characteristics

Koziel

Pietrenko‐Dabrowska

2019

Sensors

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“…There are numerous space mapping methods used for optimization and modeling . However, using analytical formulas as coarse models such as Cauchy approximation show a limited range of variables.…”

Section: Introductionmentioning

confidence: 99%

An enhanced fraction polynomial microwave filter modeling method exploiting space mapping

Guo

Xia

Deng

et al. 2016

Micro & Optical Tech Letters

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switches. It leads to the asymmetric distribution of up-state capacitances and down-state resistances throughout the signal line with identical actuation voltage. The proposed switch demonstrates excellent microwave performances over a compact area. Switch is also compared with the present state-of-the-art of the SPDT switches and reported in Ref. 8. CONCLUSIONWe have proposed and implemented the functionalities of DC contact MEMS SPST switch behavior with different levels of characterizations. A systematic extensive measurement process has been followed to ensure the optimum switch performance. The isolation performance of the DC contact MEMS switch is improved up to 30 dB with series shunt configurations compared to a single SPST switch. Finally, a SPDT switch has been developed with 40 dB of isolation up to 20 GHz frequency within a smallest possible area of 1.25 mm 2 . In future, the authors intend to do experimental justifications of the reported SPDT switch within a 0-level or thin film packaging. ACKNOWLEDGMENTThe authors express their profound gratitude to National Program on Micro and Smart Systems for setting up MEMS design lab and RF characterization facilities at CARE, Indian Institute of Technology, Delhi, India. ABSTRACT: A method for bandpass filter modeling taking advantage of the space mapping (SM) is presented in this letter. The coarse model is constructed by the fraction polynomial approximating the data from high-fidelity simulations, and the approach of obtaining the coefficients is specifically designed to avoid rapidly increasing complexity as the data adds. The surrogate model, which the accuracy is further enhanced, is established utilizing SM. In this work, the SM process allows a flexible tradeoff between accuracy and computational cost. The proposed model can be operated with a relatively wide variation of design Figure 6 Measured change in

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“…Our methodology is based on the classical Broyden‐based input space mapping (SM) algorithm to efficiently optimize the return loss of the PIFA handset antenna under these considerations, exploiting a coarse model that is not only a structurally simplified version of the fine model but also fully neglects the operational environment. Unlike other antenna design optimization approaches based on SM , here the EM couplings of the antenna with the battery, handset case, and human head are considered in the fine model. The approach is in principle applicable to other environmental objects, such as the human hand, cell‐phone display, speaker, and so forth.…”

Section: Introductionmentioning

confidence: 99%

“…Typically, parameterized analytical or circuital coarse models for planar antennas can be very challenging to develop due to the structures complexity . We propose both coarse and fine models to be based on finite‐element method (FEM), simplifying and generalizing the methodology.…”

Section: Introductionmentioning

confidence: 99%

Space mapping optimization of handset antennas considering EM effects of mobile phone components and human body

Cervantes-González

Rayas‐Sánchez

López

et al. 2015

Int J RF and Microwave Comp Aid Eng

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To meet antenna design specifications under realistic conditions, electromagnetic coupling effects between the antenna and its environment must be considered. In this work, an efficient antenna design optimization methodology that considers the influence of the human head and main mobile handset components on the antenna performance is presented. The computational optimization time is dramatically reduced by exploiting a Broyden-based input space mapping (SM) algorithm. Both coarse and fine models required for the SM algorithm are based on the finite-element method and are implemented in the same simulator; simplifying the modeling process. However, our coarse model does not consider any object of the actual operational environment. In spite of that and other simplifications applied to the coarse model, the proposed optimization scheme is able to find a solution that meets the specifications in a realistic environment by performing an extremely small number of expensive fine model simulations. Our practical illustration opens up the feasibility of using this CAD methodology to optimize other RF devices that operate in close proximity to objects that affect its desired response, as it is the case for many wearable devices.

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Space Mapping Optimization of Handset Antennas Exploiting Thin-Wire Models

Cited by 32 publications

References 20 publications

Variable-Fidelity Simulation Models and Sparse Gradient Updates for Cost-Efficient Optimization of Compact Antenna Input Characteristics

Variable-Fidelity Simulation Models and Sparse Gradient Updates for Cost-Efficient Optimization of Compact Antenna Input Characteristics

An enhanced fraction polynomial microwave filter modeling method exploiting space mapping

Space mapping optimization of handset antennas considering EM effects of mobile phone components and human body

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