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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 Esmaeiliporzani
1
Zahra Atlasbaf
2
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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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
