Dimensions Estimation of Wide Band Rectangular Microstrip Patch Antenna Based on Artificial Neural Network

Kaur, Avneet; Mittal, Rinkesh

doi:10.1109/iccons.2018.8662975

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…-the artificial neural network model (ANN) method is used to estimate the dimensions (length, width) of a rectangular patch antenna. Input parameters include substrate thickness and dielectric constant, resulting in a minimum level of percentage of error was reported in [13]. -the particle swarm optimization technique is used for the precise calculation of the parameters of a rectangular patch antenna.…”

Section: Introductionmentioning

confidence: 99%

A Quick Approximation Method for Estimating the Dimensions of Patch Antennas using CMA

Elias

Soh

Al‐Hadi

2021

2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)

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In this paper, a quick method for estimating the patch width is presented using CMA. The proposed method can be completed in four steps, based on the relationship between the patch width as the variable and different resonant frequencies, and has been validated using four substrates. This method is advantageous as it facilitates antenna designers in estimating the width of the radiator patch using only CMA without the effects of substrate and excitation. Basically, the generated formula enables the calculation of the actual patch width by simply substituting the width of the patch produced based on one of the CMA's characteristic angle. This parameter which is originally used to find the natural resonant frequency of the structure makes the proposed method time-and resource-efficient. The set of obtained results have been validated to be realistic with satisfactory accuracy.

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Section: Introductionmentioning

confidence: 99%