Design of Microstrip Patch Antenna &amp; Its Analysis Through ANN for Terahertz Application

Saxena, Pawan; Pani, Shuchismita

doi:10.1109/spin.2019.8711756

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…The rectangular microstrip patch antenna for the terahertz applications is presented in [63]. The gallium arsenide e r = 12.9 material was used for the substrate.…”

Section: Antennasmentioning

confidence: 99%

Trends of Microwave Devices Design Based on Artificial Neural Networks: A Review

et al. 2022

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The usage of techniques of the artificial neural networks (ANNs) in the field of microwave devices has recently increased. The advantages of ANNs in comparison with traditional full-wave methods are that the prediction speed when the traditional time-consuming iterative calculations are not required and also the complex mathematical model of the microwave device is no longer needed. Therefore, the design of microwave device could be repeated many times in real time. However, methods of artificial neural networks still lag behind traditional full-wave methods in terms of accuracy. The prediction accuracy depends on the structure of the selected neural network and also on the obtained dataset for the training of the network. Therefore, the paper presents a systematic review of the implementation of ANNs in the field of the design and analysis of microwave devices. The guidelines for the systematic literature review and the systematic mapping research procedure, as well as the Preferred Report Items for Systematic Reviews and Meta-Analysis statements (PRISMA) are used to conduct literature search and report the results. The goal of the paper is to summarize the application areas of usage of ANNs in the field of microwave devices, the type and structure of the used artificial neural networks, the type and size of the dataset, the interpolation and the augmentation of the training dataset, the training algorithm and training errors and also to discuss the future perspectives of the usage of ANNs in the field of microwave devices.

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“…The rectangular microstrip patch antenna for the terahertz applications is presented in [63]. The gallium arsenide e r = 12.9 material was used for the substrate.…”

Section: Antennasmentioning

confidence: 99%

Trends of Microwave Devices Design Based on Artificial Neural Networks: A Review

et al. 2022

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show abstract

“…The shape and size of the antenna can be optimized which can further optimize its parameters such as gain, directivity and efficiency. A dataset was created containing input parameters as resonant frequency of the antenna (f ), dielectric constant of the substrate in which the patch is etched (ε) and height of the dielectric substrate (h) and output parameters as dimensions of the patch, i.e., length of the patch (l) and width of the patch (w) which can be calculated [12]. Artificial neural network (ANN) is used for optimization.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Antenna Parameters Using Neural Network Technique for Terahertz Band Applications

Kumar

Kirti

Pani

et al. 2021

Lecture Notes in Electrical Engineering

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Application of Neural Networks to Simulate a Monopole Microstrip Four-Tooth-Shaped Antenna

Kayumov

Tumakov

Markina

2021

Communications in Computer and Information Science

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Design of Microstrip Patch Antenna & Its Analysis Through ANN for Terahertz Application

Cited by 4 publications

References 7 publications

Trends of Microwave Devices Design Based on Artificial Neural Networks: A Review

Trends of Microwave Devices Design Based on Artificial Neural Networks: A Review

Optimization of Antenna Parameters Using Neural Network Technique for Terahertz Band Applications

Application of Neural Networks to Simulate a Monopole Microstrip Four-Tooth-Shaped Antenna

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