Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers

The majority of the nonlinearity in a communication system is attributed to the power amplifier (PA) present at the final stage of the transmitter chain. In this paper, we consider Gaussian distributed input signals (such as OFDM), and PAs that can be modeled by memoryless or memory polynomials. We...

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Main Authors: G. Tong Zhou, Raviv Raich
Format: Article
Language:English
Published: SpringerOpen 2004-09-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/S1110865704312114
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spelling doaj-1995c7484dda4e6097a5092785fab12f2020-11-25T00:49:00ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802004-09-012004121831184010.1155/S1687617204312114Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power AmplifiersG. Tong ZhouRaviv RaichThe majority of the nonlinearity in a communication system is attributed to the power amplifier (PA) present at the final stage of the transmitter chain. In this paper, we consider Gaussian distributed input signals (such as OFDM), and PAs that can be modeled by memoryless or memory polynomials. We derive closed-form expressions of the PA output power spectral density, for an arbitrary nonlinear order, based on the so-called Leonov-Shiryaev formula. We then apply these results to answer practical questions such as the contribution of AM/PM conversion to spectral regrowth and the relationship between memory effects and spectral asymmetry.http://dx.doi.org/10.1155/S1110865704312114nonlinearpolynomialpower amplifierspectral analysis.
collection DOAJ
language English
format Article
sources DOAJ
author G. Tong Zhou
Raviv Raich
spellingShingle G. Tong Zhou
Raviv Raich
Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers
EURASIP Journal on Advances in Signal Processing
nonlinear
polynomial
power amplifier
spectral analysis.
author_facet G. Tong Zhou
Raviv Raich
author_sort G. Tong Zhou
title Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers
title_short Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers
title_full Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers
title_fullStr Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers
title_full_unstemmed Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers
title_sort spectral analysis of polynomial nonlinearity with applications to rf power amplifiers
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2004-09-01
description The majority of the nonlinearity in a communication system is attributed to the power amplifier (PA) present at the final stage of the transmitter chain. In this paper, we consider Gaussian distributed input signals (such as OFDM), and PAs that can be modeled by memoryless or memory polynomials. We derive closed-form expressions of the PA output power spectral density, for an arbitrary nonlinear order, based on the so-called Leonov-Shiryaev formula. We then apply these results to answer practical questions such as the contribution of AM/PM conversion to spectral regrowth and the relationship between memory effects and spectral asymmetry.
topic nonlinear
polynomial
power amplifier
spectral analysis.
url http://dx.doi.org/10.1155/S1110865704312114
work_keys_str_mv AT gtongzhou spectralanalysisofpolynomialnonlinearitywithapplicationstorfpoweramplifiers
AT ravivraich spectralanalysisofpolynomialnonlinearitywithapplicationstorfpoweramplifiers
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