Digital Predistortion With Advance/Delay Neural Network and Comparison With Volterra Derived Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU110575" target="_blank" >RIV/00216305:26220/14:PU110575 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Digital Predistortion With Advance/Delay Neural Network and Comparison With Volterra Derived Models
Original language description
This paper is focused on digital predistortion using neural networks (NNETs) for linearization of power amplifiers. We propose a new architecture of NNET. It is based on a feedforward tapped delay line neural network for complex signals with one hidden layer but it includes both delayed and advanced samples at its input. We name this architecture TADNN (tapped advance and delay line neural net). We show that the introduction of advance taps improves the digital predistortion (DPD) performance. We also compare the TADNN predistorter with predistorters derived from Volterra series such as memory polynomial or dynamic deviation reduction models. This comparison is based on three elements: performance in linearization, complexity, increase of the peak to average power ratio (PAPR) by the predistorter. Indeed, one drawback of Volterra based predistorters is that they can generate predistorted signals with very high PAPR that cannot be applied directly at the input of the power amplifier. Co
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED2.1.00%2F03.0072" target="_blank" >ED2.1.00/03.0072: Centre of sensor, information and communication systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
ISBN
978-1-4673-6235-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
Neuveden
Place of publication
Washington D.C., USA
Event location
Washington D.C.
Event date
Sep 2, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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