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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Online Access: | http://dx.doi.org/10.1155/S1110865704312114 |
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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 |
_version_ |
1725253719127228416 |