Equivalent nonlinearities for studying nonlinear effects on sampled OFDM Signals

Joao Guerreiro; Rui Dinis; Paulo Miguel de Araújo Borges Montezuma de Carvalho

doi:10.1109/LCOMM.2015.2403326

Equivalent nonlinearities for studying nonlinear effects on sampled OFDM Signals

Joao Guerreiro, Rui Dinis, Paulo Miguel de Araújo Borges Montezuma de Carvalho

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

In this work we consider nonlinear effects on sampled orthogonal frequency division multiplexing (OFDM) signals and we present a method for obtaining a polynomial function with small degree that can be used to substitute severe nonlinear characteristics (possibly non-differentiable, as clipping functions), since it leads to signals with essentially the same spectral characteristics. This equivalent nonlinearity is then employed for performance evaluation of clipped OFDM signals, leading to accurate results with both conventional and optimum receivers.

Original language	English
Article number	7041158
Pages (from-to)	529-532
Number of pages	4
Journal	IEEE Communications Letters
Volume	19
Issue number	4
DOIs	https://doi.org/10.1109/LCOMM.2015.2403326
Publication status	Published - 1 Apr 2015

Keywords

Gaussian signals
intermodulation analysis
nonlinear effects
OFDM

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keywords = "Gaussian signals, intermodulation analysis, nonlinear effects, OFDM",

author = "Joao Guerreiro and Rui Dinis and {Montezuma de Carvalho}, {Paulo Miguel de Ara{\'u}jo Borges}",

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AU - Dinis, Rui

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N2 - In this work we consider nonlinear effects on sampled orthogonal frequency division multiplexing (OFDM) signals and we present a method for obtaining a polynomial function with small degree that can be used to substitute severe nonlinear characteristics (possibly non-differentiable, as clipping functions), since it leads to signals with essentially the same spectral characteristics. This equivalent nonlinearity is then employed for performance evaluation of clipped OFDM signals, leading to accurate results with both conventional and optimum receivers.

AB - In this work we consider nonlinear effects on sampled orthogonal frequency division multiplexing (OFDM) signals and we present a method for obtaining a polynomial function with small degree that can be used to substitute severe nonlinear characteristics (possibly non-differentiable, as clipping functions), since it leads to signals with essentially the same spectral characteristics. This equivalent nonlinearity is then employed for performance evaluation of clipped OFDM signals, leading to accurate results with both conventional and optimum receivers.

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Equivalent nonlinearities for studying nonlinear effects on sampled OFDM Signals

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Keywords

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