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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2008-02-06
Neural Frequency Sweeper for Accelerating S-Parameters Calculation of Planar Microwave Structures
By
Ezzeldin A. Soliman,

    Professor Ezzeldin A. Soliman

    School of Sciences and Engineering

    Physics Department, The American University in Cairo

    Egypt

    Homepage

Mourad Ibrahim

    Dr. Mourad Ibrahim

    Department of Communication

    Prince Sultan University

    Saudia Arabia

    Homepage

Progress In Electromagnetics Research M, Vol. 1, 31-43, 2008
DOI:10.2528/PIERM08010702 | Google Scholar

Abstract
This paper presents a new frequency-sweep approach for the efficient calculation of S-parameters of planar microwave structures. The approach is based on approximating the frequency dependence of the real and imaginary parts of the S-parameters using neural networks. Due to its superior performance, radial basis functions neural network (RBF-NN) is adopted. A limited number of frequency samples are used to train the RBF-NN. Then, the trained RBF-NN is capable of providing a smooth frequency response with very high accuracy in a fraction of a second. The proposed method is applied to a number of planar microwave structures such as: Patch antenna with an inset feed, band-rejection filter, and branch-line coupler. According to the presented results, a speed factor of at least 10 is measured, and a maximum percentage error of 3.29% is recorded.
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Citation
Ezzeldin A. Soliman, and Mourad Ibrahim, "Neural Frequency Sweeper for Accelerating S-Parameters Calculation of Planar Microwave Structures," Progress In Electromagnetics Research M, Vol. 1, 31-43, 2008.
DOI:10.2528/PIERM08010702
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