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Autores:
Marcos Gestal, Julio Claudio Brégains, Juan Antonio Rodríguez, Julián Dorado
Título: Neural Networks & Antennas Design: an Application for Avoiding Interferences
Revista: Lecture Notes in Computer Science
ISSN: 0302-9743
Volumen: 2687
Páginas: 750-757
Editorial: Springer Verlag
Fecha Publicación: Junio 2003
Factor de Impacto: 0.402
doi: 10.1007/3-540-44869-1_95

Abstract:

The presence of interferences is an usual problem when somebody is working with antennas. In order to alleviate their effects, it is common to lessen the received energy in the direction of arrival of this unwanted signal. But depending on the antenna configuration, the process of calculating the excitation values which allow to do this, can be extremely complex if analytical or optimization numerical methods are used. The required process time makes impossible to adopt real-time corrective actions. This article proposes the use of Artificial Neural Networks to avoid these interferences, allowing to take the corrective measures at the same moment as they are detected.