RT Journal Article
T1 Reduction of power envelope fluctuations in OFDM signals by using neural networks
A1 Jabrane, Younes
A1 Gil-Jiménez, Víctor P.
A1 García-Armada, Ana
A1 Ait Es Said, Brahim
A1 Ait Ouahman, Abdellah
AB One of the main drawbacks of Orthogonal Frequency Division Multiplexing (OFDM) are the large fluctuations of its power envelope. In this letter, a novel and efficient scheme based on Multilayer Perceptron (MLP) Neural Networks (NN) is proposed. The NN synthesizes the Active Constellation Expansion - (ACE) technique which is able to drastically reduce envelope fluctuations. This is achieved with much lower complexity, faster convergence, and better performance compared to previously available methods.
PB IEEE
SN 1089-7798
YR 2010
FD 2010-07
LK https://hdl.handle.net/10016/14425
UL https://hdl.handle.net/10016/14425
LA eng
NO This work has been partly funded by the projects MULTI-ADAPTIVE(TEC2008-06327-C03-02), COMONSENS (CSD2008-00010), and the AECIProgram of Research Cooperation with Morocco.
DS e-Archivo
RD 20 may. 2024