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Neural network – based digital receiver for radio communications

Liodakis Georgios, Ioannis Vardiambasis , Arvanítīs, Dīmī́trīs Th., 1948-

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URIhttp://purl.tuc.gr/dl/dias/1831082E-88CB-4C86-9EFB-2CD40BE01BF9-
Languageen-
Extent6 pagesen
TitleNeural network – based digital receiver for radio communicationsen
CreatorLiodakis Georgiosen
CreatorΛιοδακης Γεωργιοςel
Creator Ioannis Vardiambasis en
CreatorArvanítīs, Dīmī́trīs Th., 1948-en
Content SummaryThis paper proposes a novel digital receiver, based on a multilayer perceptron neural network architecture, which works in a radio communications environment. Training is carried out by the variable learning rate back-propagation algorithm with momentum in a supervised manner and a batch training mode. We present computer simulation results comparing the performance of this receiver against the classical correlation receiver, for various modulation methods. The results show that the neural network – based receiver achieves better performance in terms of bit error rate for various o b N / E values, especially in the case of a Rayleigh multipath channel.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-29-
Date of Publication2004-
SubjectElectronic mediaen
SubjectNew media (Digital media)en
Subjectdigital mediaen
Subjectelectronic mediaen
Subjectnew media digital mediaen
Bibliographic CitationG. Liodakis, D. Arvanitis and I. Vardiambasis, "Neural network – based digital receiver for radio communications," WSEAS Transactions on Systems, vol. 10, no.3, pp.3308-3313, Dec. 2004.en

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