Multi‐frequency patch antenna design via the method of moment and genetic algorithm

Bilotti, Filiberto; Castellana, Francesco; Vegni, Lucio

doi:10.1002/mop.10551

Cited by 4 publications

(3 citation statements)

References 5 publications

(9 reference statements)

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“…Once the rectangular patch has been properly analyzed through the code proposed in the previous section, a GA search can be used to optimize the patch shape in order to match some prescribed requirements. The GA procedure is integrated in the MoM code by using the same technique previously developed by the authors in [9] for the case of a simple air-loaded patch in the spatial domain. Unlike [9], in this work we propose the integration of the GA search procedure to a MoM code that refers to the structure depicted in Figure 1 and is solved in the spectral domain.…”

Section: Genetic Algorithm Codementioning

confidence: 99%

“…In this paper, we present a numerical code to design optimized patch antennas in the presence of inhomogeneous loading substrates. Such a numerical tool is based on the full-wave approach already developed by the authors in [1,2] and on the employment of a genetic algorithm (GA) search procedure, such as the one presented in [9] in the case of conventional homogeneous substrates.…”

Section: Introductionmentioning

confidence: 99%

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Synthesis of patch antennas loaded by inhomogeneous substrates via a combined spectral domain: Genetic algorithm approach

Bilotti

Vegni

Urbani³

2003

Micro & Optical Tech Letters

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The optimized design of patch antennas with inhomogeneous\ud loading materials is presented in this paper. The analysis and a first coarse\ud design of the antennas is applied to a numerical tool based on the method\ud of moments (MoM) and on a full-wave formulation developed in the spectral\ud domain that exploits both rigorous and asymptotic closed-form expressions\ud of the Green’s function for a stratified integrated structure with inhomogeneous\ud substrates. In order to match the specific prescribed\ud requirements for the antennas, then, the optimization of the patch shape\ud (fine design) is performed by a dedicated subroutine implementing the genetic\ud algorithm (GA) search and integrated in the aforementioned MoM\ud numerical tool. Some numerical results showing the capabilities of the code\ud are finally presented

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Section: Genetic Algorithm Codementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Synthesis of patch antennas loaded by inhomogeneous substrates via a combined spectral domain: Genetic algorithm approach

Bilotti

Vegni

Urbani³

2003

Micro & Optical Tech Letters

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“…GA is an heuristic stochastic global optimization algorithm based on the principle of survival of the best [9]. Since GA has the property of converging to the best result, it is highly preferred in antenna design problems [10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of Directive Circular Patch Antenna with Asymmetric Pixels Using Genetic Algorithm

Doğusan

2021

Balkan Journal of Electrical and Computer Engineering

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In this study, a low-profile, high directive circular microstrip antenna was designed for 5.8 GHz ISM band applications. In the design, the GA / MoM approach based on the Method of Moments (MoM) integrated with the Genetic Algorithm (GA) optimization method was used. The simulations of the best first and second antennas obtained as a result of the optimization process were made using the ANSYS HFSS software program. According to the simulation results, it was determined that the input reflection coefficient of both antennas was below -10 dB in the ISM band where the antenna was operating and had maximum directivity. It was observed that the radiation characteristics of both antennas obtained with the GA / MoM approach were steady-state in the operating band. It was concluded that asymmetric pixelation used in this method can be used in the design of antennas with different geometries.

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Patch antennas loaded by inhomogeneous substrates: a combined spectral domain - genetic algorithm approach

Urbani¹,

Bilotti²,

Vegni³

17th International Conference on Applied Electromagnetics and Communications, 2003. ICECom 2003.

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The optimized design of patch antennas with inhomogenwirs loading materials is presented in this letter. The una!vsis and a /;rat coarse design of the antennas i. s demanded to a nuinericul tool based on the Method of Moments (MUM) and on a full-nuve,formulation developed in the spectral domain that e.rplnits both rigorous mid asynptotic closed form expressiam uf the Greeu ' s Jimctiun of a stratified integrated stnictare with inhomogeneous substrares. In order to match the specilic prescribed reyuirenients /in-the antennas, then, the optimization ofthe putch shape fine design) is perJormed by a dedicated subroutine implenienting the Genetic Algorithm search and intepzted in the aforementioned MaM numerical tool. Some ntrmerical resnlts showing th; capabilities of the codLare /inally presented.

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Multi‐frequency patch antenna design via the method of moment and genetic algorithm

Cited by 4 publications

References 5 publications

Synthesis of patch antennas loaded by inhomogeneous substrates via a combined spectral domain: Genetic algorithm approach

Synthesis of patch antennas loaded by inhomogeneous substrates via a combined spectral domain: Genetic algorithm approach

Design and Optimization of Directive Circular Patch Antenna with Asymmetric Pixels Using Genetic Algorithm

Patch antennas loaded by inhomogeneous substrates: a combined spectral domain - genetic algorithm approach

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