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 realtime 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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© 2003 Springer-Verlag Berlin Heidelberg
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Gestal, M., Brégains, J., Rodríguez, J.A., Dorado, J. (2003). Neural Networks & Antennas Design: an Application for Avoiding Interferences. In: Mira, J., Álvarez, J.R. (eds) Artificial Neural Nets Problem Solving Methods. IWANN 2003. Lecture Notes in Computer Science, vol 2687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44869-1_95
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DOI: https://doi.org/10.1007/3-540-44869-1_95
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