Spectral analysis of predistorted non-linear amplified multicarrier signals

A. Cheaito 1 M. Saad Farah 1 M. Crussiere 1 J.-F. Helard 1 Y. Louët 1
1 IETR - Institut d'Electronique et de Télécommunications de Rennes
Abstract : The aim of this paper is to analytically evaluate the spectral regrowth at the output of a transmitter due to the nonlinear components such as the power amplifier (PA). Therefore, we propose a generalization of existing closed-form expression for the Power Spectral Density (PSD) of nonlinear amplified multicarrier signals to be valid for any type of modulation. Then, we derive the PSD of the amplified multicarrier signal taking into account the predistortion technique. To the best of our knowledge, no analytical PSD expression of the transmitted signal taking into account the predistortion technique exists in the literature. Such analytical expression could be of particular interest to those involved in the design of cellular communications systems. In fact, this analytical expression is very useful to determine the optimal configuration of the PA and the predistortion technique that allows to obtain the maximum PA efficiency while satisfying the linearity requirements. © 2017 IEEE.
Keywords : Power amplifiers Power spectral density Spectral density Wireless telecommunication systems Analytical expressions Closed-form expression Multicarrier signal Nonlinear components Power spectral densities (PSD) Predistortion techniques Spectral regrowth Transmitted signal Spectrum analysis
Type de document :
Communication dans un congrès
2017 IEEE Wireless Communications and Networking Conference, WCNC 2017, Mar 2017, San Francisco, United States. 〈10.1109/WCNC.2017.7925797〉
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01622529
Contributeur : Laurent Jonchère <>
Soumis le : mardi 24 octobre 2017 - 14:34:43
Dernière modification le : vendredi 20 avril 2018 - 01:30:21

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A. Cheaito, M. Saad Farah, M. Crussiere, J.-F. Helard, Y. Louët. Spectral analysis of predistorted non-linear amplified multicarrier signals. 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017, Mar 2017, San Francisco, United States. 〈10.1109/WCNC.2017.7925797〉. 〈hal-01622529〉

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