Active element pattern and array pattern of patch array antenna including ground edge effect

2017 ◽  
Author(s):  
Sun-Gyu Lee ◽  
Jeong-Hae Lee
Keyword(s):  
Edge Effect ◽  
Active Element ◽  
Array Antenna ◽  
Array Pattern ◽  
Element Pattern

The active element pattern

1994 ◽  
Vol 42 (8) ◽  
pp. 1176-1178 ◽  
Author(s):  
D.M. Pozar
Keyword(s):  
Active Element ◽  
Element Pattern

scholarly journals The method of array antenna constructive synthesis on the basis of neural network approach

2019 ◽  
Vol 30 ◽  
pp. 05001
Author(s):  
Sergey Mishchenko ◽  
Vitaliy Shatskiy ◽  
Alexey Litvinov ◽  
Denis Eliseev
Keyword(s):  
Neural Network ◽  
Active Element ◽  
Back Propagation ◽  
Array Antenna ◽  
Antenna Element ◽  
Network Approach ◽  
Passive Element ◽  
Neural Network Approach ◽  
Neural Network Learning ◽  
Error Back Propagation

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.

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