Weight vector estimation of circular arrays of antennas using Artificial Neural Networks
| Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
|---|---|
| Data(s) |
27/05/2014
27/05/2014
01/12/2008
|
| Resumo |
This paper presents a model for the control of the radiation pattern of a circular array of antennas, shaping it to address the radiation beam in the direction of the user, in order to reduce the transmitted power and to attenuate interference. The control of the array is based on Artificial Neural Networks (ANN) of the type RBF (Radial Basis Functions), trained from samples generated by the Wiener equation. The obtained results suggest that the objective was reached. |
| Formato |
93-98 |
| Identificador |
http://www.actapress.com/Abstract.aspx?paperId=34385 Proceedings of the IASTED International Conference on Intelligent Systems and Control, p. 93-98. 1025-8973 http://hdl.handle.net/11449/70784 2-s2.0-74549119520 |
| Idioma(s) |
eng |
| Relação |
Proceedings of the IASTED International Conference on Intelligent Systems and Control |
| Direitos |
closedAccess |
| Palavras-Chave | #Array of antennas #Intelligent control #Mobile equipments #Smart antennas #Artificial Neural Network #Circular arrays #Radial basis functions #Radiation beams #Radiation patterns #Transmitted power #Weight vector #Directional patterns (antenna) #Intelligent systems #Local area networks #Mobile telecommunication systems #Neural networks #Radial basis function networks #Wireless networks #Mobile antennas |
| Tipo |
info:eu-repo/semantics/conferencePaper |
