Digital predistorter with Hammerstein structure employing statistical adaptation of nonlinear component

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128889" target="_blank" >RIV/00216305:26220/18:PU128889 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8464850" target="_blank" >https://ieeexplore.ieee.org/document/8464850</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICT.2018.8464850" target="_blank" >10.1109/ICT.2018.8464850</a>

Result language
angličtina
Original language name
Digital predistorter with Hammerstein structure employing statistical adaptation of nonlinear component
Original language description
The performance of wireless communication systems is significantly influenced by the nonlinearity of RF components, such as RF power amplifier. Digital predistortion is often applied in such systems to compensate the nonlinearity. The advanced predistortion methods suffer from their high complexity and requirements on feedback path due to the model order and high wide signal bandwidth. On the contrary, recently proposed statistical methods to adapt predistorter usually do not account for memory effects. This paper demonstrates the possibility to combine statistical method for nonlinearity adaptation with least-squares method for memory compensation adaptation in simple Hammerstein-type of predistorter.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 25th International Conference on Telecommunications (ICT)
ISBN
978-1-5386-2320-6
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
476-480
Publisher name
Neuveden
Place of publication
neuveden
Event location
Saint Malo, France
Event date
Jun 26, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000446016500088

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