ITM Web Conf.
Volume 30, 201929th International Crimean Conference “Microwave & Telecommunication Technology” (CriMiCo’2019)
|Number of page(s)||9|
|Section||Antennas and Antenna Elements (4)|
|Published online||27 November 2019|
The method of array antenna constructive synthesis on the basis of neural network approach
FSPC “Rostov research institute of radiocommunications”, 344038, Rostov-on-Don, Russia
* Corresponding author: email@example.com
The method to decision constructive synthesis of array antennas was conducted. The method usefull when antenna elements can be in discreste states (for example: active element, passive element, excluded item, active element with discrete nominal of output power e.t.c). The method is based on neural network approach. The structure of a neural network consist of a classifying neural network and several approximating neural networks is substantiated. Input signals correspond to phase centers of array antenna elements. Number of output signals in classifying part is equal to discrete status of antenna element. Each approximating part of network has one output signal wich correspond to continious meaning. Separate parts of network preliminary learning with error back propagation method. The genetic algorithm of neural network learning with limited number of training coefficients is proposed. Examples of solving problems of constructive synthesis, with different indicators of the quality of neural network training are given.
© The Authors, published by EDP Sciences, 2019
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