کنفرانس مهندسی برق ایران

صفحه اصلی / سی و سومین کنفرانس بین المللی مهندسی برق

Development of Reflectarray Antennas With a Deflected Beam: An Approach Based on Artificial Neural Networks

نویسندگان :

Mahdieh Esmaeiliporzani¹ Zahra Atlasbaf²

1- Tarbiat Modares University 2- Tarbiat Modares University

کلمات کلیدی :

Deflected beam،Reflectarray antennas،Artificial Neural Networks (ANNs)

چکیده :

A 4.8λ×4.8λ×0.032λ single feed, single-layer reflectarray antenna is studied in this paper. This proposed antenna works at 6 GHz frequency (C band) and consists of 144 circular elements in which by changing the radius of circular patch, nearly 500 degrees phase compensation is achieved. Simulations show a maximum gain of 18.3 dB for a deflected beam at (25,52). Besides, designing the studied reflectarray antenna unit-cell by Artificial Neural Networks(ANNs) is discussed. CST Studio Suite generated the needed datasets for us which is 80% for training,10% for validation and 10% for test. The results demonstrate that the Multilayer Perceptron(MLP) can precisely predict the phase with a good performance in comparison with CST.

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