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An adaptive power amplifier lineariser based on a multilayer perceptron

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dc.contributor.author Naskas, N en
dc.contributor.author Papananos, Y en
dc.date.accessioned 2014-03-01T02:42:12Z
dc.date.available 2014-03-01T02:42:12Z
dc.date.issued 2003 en
dc.identifier.issn 07400551 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30852
dc.subject Baseband predistortion en
dc.subject Multilayer perceptron en
dc.subject Neural network en
dc.subject Power amplifier en
dc.subject.other Backpropagation en
dc.subject.other Channel capacity en
dc.subject.other Multilayer neural networks en
dc.subject.other Phase modulation en
dc.subject.other Signal interference en
dc.subject.other Multilayer perceptron en
dc.subject.other Power amplifiers en
dc.title An adaptive power amplifier lineariser based on a multilayer perceptron en
heal.type conferenceItem en
heal.identifier.primary 10.1109/VETECS.2003.1207844 en
heal.identifier.secondary http://dx.doi.org/10.1109/VETECS.2003.1207844 en
heal.publicationDate 2003 en
heal.abstract In this paper, a RF power amplifier (PA) linearisation method based on a multilayer perceptron (MLP) neural network is proposed. The method is an alternative to the digital baseband predistortion. The predistortion component is a single MLP with a dual output and single input. For the training of the MLP the response of the PA, in a training ramp, and the backpropagation (BP) training algorithm are used. After the training process, the MLP is capable of compensating both the amplitude-to-amplitude (AM/AM) and amplitude-to-phase modulation (AM/PM) that PA introduces. A method's prototype has been constructed; this is according to the authors' knowledge the first published experimental PA predistorter that employs MLP. Measurement results reveal a considerable improvement in the adjacent channel interference (ACI) that reaches 25dB. en
heal.journalName IEEE Vehicular Technology Conference en
dc.identifier.doi 10.1109/VETECS.2003.1207844 en
dc.identifier.volume 57 en
dc.identifier.issue 2 en
dc.identifier.spage 1331 en
dc.identifier.epage 1334 en


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