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Categoria WoS
  • Antenas
  • Applications
  • Artificial Neural Networks
Titulo: Neural Networks & Antennas Design: an Application for Avoiding Interferences
Tipo: revista internacional
Fecha: 6,2003
Revista: Lecture Notes in Computer Science
JCR Journal; Impact Factor: 0.402
Volumen: 2687
Paginas: 750-757
ISSN: 0302-9743
Editorial: Springer Verlag
doi: 10.1007/3-540-44869-1_95


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.

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