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Smart antenna design using neural networks

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Technical University of Crete   

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Smart antenna design using neural networks (EN)
Λιοδακης Γεωργιος (EL)
Andreas M. Maras (EN)
Theodoros N. Kapetanakis (EN)
Ioannis O. Vardiambasis (EN)
Melina P. Ioannidou (EN)
Liodakis Georgios (EN)
full paper
conferenceItem
2013
Optimizing antenna arrays to approximate desired far field radiation patterns is of exceptional interest in smart antenna technology. This paper shows how to apply artificial intelligence, in the form of neural networks, to achieve specific beam-forming with linear antenna arrays. Multilayer feed-forward neural networks are used to maximize multiple main beams’ radiation of a linear antenna array. In particular, a triple beam radiation pattern is presented in order to demonstrate the effectiveness and the reliability of the proposed approach. The results show that multilayer feed-forward neural networks are robust and can solve complex antenna problems. (EN)
Arrays, Antenna,antenna arrays,arrays antenna (EN)
8th International Conference “New Horizons in Industry, Business and Education” (EL)
English
Πολυτεχνείο Κρήτης (EL)
Technical University of Crete (EN)
Technical University of Crete
Institutional Repository Technical University of Crete
School of Electrical and Computer Engineering - Journal Publications



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