IEICE TRANSACTIONS on Communications
Determining Memory Polynomial Model Parameters from Those of Complex p-th Order Inverse for Designing Predistorter
Summary :
Non-linear behavioral models play a key role in designing digital pre-distorters (DPDs) for non-linear power amplifiers (NLPAs). In general, more complex behavioral models have better capability, but they should be converted into simpler versions to assist implementation. In this paper, a conversion from a complex fifth order inverse of a parallel Wiener (PRW) model to a simpler memory polynomial (MP) model is developed by using frequency domain expressions. In the developed conversion, parameters of the converted MP model are calculated from those of original fifth order inverse and frequency domain statistics of the transmit signal. Since the frequency domain statistics of the transmit signal can be precalculated, the developed conversion is deterministic, unlike the conventional conversion that identifies a converted model from lengthy input and output data. Computer simulations are conducted to confirm that conversion error is sufficiently small and the converted MP model offers equivalent pre-distortion to the original fifth order inverse.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E104-B No.11 pp.1429-1440
- Publication Date
- 2021/11/01
- Publicized
- 2021/06/01
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2020EBP3155
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Michiharu NAKAMURA
Kyoto-University,FUJITSU LIMITED
Eisuke FUKUDA
Tokyo Institute of Technology
Yoshimasa DAIDO
Kanazawa Institute of Technology
Keiichi MIZUTANI
Kyoto-University
Takeshi MATSUMURA
Kyoto-University,NICT
Hiroshi HARADA
Kyoto-University
Keyword
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Michiharu NAKAMURA, Eisuke FUKUDA, Yoshimasa DAIDO, Keiichi MIZUTANI, Takeshi MATSUMURA, Hiroshi HARADA, "Determining Memory Polynomial Model Parameters from Those of Complex p-th Order Inverse for Designing Predistorter" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 11, pp. 1429-1440, November 2021, doi: 10.1587/transcom.2020EBP3155.
Abstract: Non-linear behavioral models play a key role in designing digital pre-distorters (DPDs) for non-linear power amplifiers (NLPAs). In general, more complex behavioral models have better capability, but they should be converted into simpler versions to assist implementation. In this paper, a conversion from a complex fifth order inverse of a parallel Wiener (PRW) model to a simpler memory polynomial (MP) model is developed by using frequency domain expressions. In the developed conversion, parameters of the converted MP model are calculated from those of original fifth order inverse and frequency domain statistics of the transmit signal. Since the frequency domain statistics of the transmit signal can be precalculated, the developed conversion is deterministic, unlike the conventional conversion that identifies a converted model from lengthy input and output data. Computer simulations are conducted to confirm that conversion error is sufficiently small and the converted MP model offers equivalent pre-distortion to the original fifth order inverse.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3155/_p
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@ARTICLE{e104-b_11_1429,
author={Michiharu NAKAMURA, Eisuke FUKUDA, Yoshimasa DAIDO, Keiichi MIZUTANI, Takeshi MATSUMURA, Hiroshi HARADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Determining Memory Polynomial Model Parameters from Those of Complex p-th Order Inverse for Designing Predistorter},
year={2021},
volume={E104-B},
number={11},
pages={1429-1440},
abstract={Non-linear behavioral models play a key role in designing digital pre-distorters (DPDs) for non-linear power amplifiers (NLPAs). In general, more complex behavioral models have better capability, but they should be converted into simpler versions to assist implementation. In this paper, a conversion from a complex fifth order inverse of a parallel Wiener (PRW) model to a simpler memory polynomial (MP) model is developed by using frequency domain expressions. In the developed conversion, parameters of the converted MP model are calculated from those of original fifth order inverse and frequency domain statistics of the transmit signal. Since the frequency domain statistics of the transmit signal can be precalculated, the developed conversion is deterministic, unlike the conventional conversion that identifies a converted model from lengthy input and output data. Computer simulations are conducted to confirm that conversion error is sufficiently small and the converted MP model offers equivalent pre-distortion to the original fifth order inverse.},
keywords={},
doi={10.1587/transcom.2020EBP3155},
ISSN={1745-1345},
month={November},}
Copy
TY - JOUR
TI - Determining Memory Polynomial Model Parameters from Those of Complex p-th Order Inverse for Designing Predistorter
T2 - IEICE TRANSACTIONS on Communications
SP - 1429
EP - 1440
AU - Michiharu NAKAMURA
AU - Eisuke FUKUDA
AU - Yoshimasa DAIDO
AU - Keiichi MIZUTANI
AU - Takeshi MATSUMURA
AU - Hiroshi HARADA
PY - 2021
DO - 10.1587/transcom.2020EBP3155
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2021
AB - Non-linear behavioral models play a key role in designing digital pre-distorters (DPDs) for non-linear power amplifiers (NLPAs). In general, more complex behavioral models have better capability, but they should be converted into simpler versions to assist implementation. In this paper, a conversion from a complex fifth order inverse of a parallel Wiener (PRW) model to a simpler memory polynomial (MP) model is developed by using frequency domain expressions. In the developed conversion, parameters of the converted MP model are calculated from those of original fifth order inverse and frequency domain statistics of the transmit signal. Since the frequency domain statistics of the transmit signal can be precalculated, the developed conversion is deterministic, unlike the conventional conversion that identifies a converted model from lengthy input and output data. Computer simulations are conducted to confirm that conversion error is sufficiently small and the converted MP model offers equivalent pre-distortion to the original fifth order inverse.
ER -
English
