Accurate estimation of memory polynomial model dimension for dynamic nonlinear RF power amplifiers

Mohammed Hanzala; Mohammad S. Sharawi; Oualid Hammi

doi:10.1109/ICIEA.2015.7334100

Accurate estimation of memory polynomial model dimension for dynamic nonlinear RF power amplifiers

Mohammed Hanzala, Mohammad S. Sharawi, Oualid Hammi

King Fahd University of Petroleum & Minerals

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, the dimension estimation of memory polynomial based power amplifiers' behavioral models is investigated. Comprehensive study of state of the art performance assessment metrics is carried out. To ensure the generality of the conclusions, the study is experimentally validated using three power amplifiers prototypes designed using various transistors technologies and amplifier topologies. The results show that the performance assessment metrics are equally reliable for the estimation of the device under test nonlinearity order. However, they are inconsistent when used to estimate its memory depth. This limitation is circumvented by applying memoryless post-compensation technique during the memory depth estimation. The proposed approach demonstrates that the dimension estimation can be made objective and independent of the performance assessment metric.

Original language	English
Title of host publication	Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	145-150
Number of pages	6
ISBN (Electronic)	9781467373173
DOIs	https://doi.org/10.1109/ICIEA.2015.7334100
State	Published - 20 Nov 2015

Publication series

Name	Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Long Term Evolution
behavioral modeling
distortions
memory effects
memory polynomial
nonlinearity
post-compensation
power amplifiers

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICIEA.2015.7334100

Cite this

Hanzala, M., Sharawi, M. S., & Hammi, O. (2015). Accurate estimation of memory polynomial model dimension for dynamic nonlinear RF power amplifiers. In Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 (pp. 145-150). Article 7334100 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2015.7334100

Hanzala, Mohammed ; Sharawi, Mohammad S. ; Hammi, Oualid. / Accurate estimation of memory polynomial model dimension for dynamic nonlinear RF power amplifiers. Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 145-150 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015).

@inproceedings{de925921f6024ad5830498647c9a4694,

title = "Accurate estimation of memory polynomial model dimension for dynamic nonlinear RF power amplifiers",

abstract = "In this paper, the dimension estimation of memory polynomial based power amplifiers' behavioral models is investigated. Comprehensive study of state of the art performance assessment metrics is carried out. To ensure the generality of the conclusions, the study is experimentally validated using three power amplifiers prototypes designed using various transistors technologies and amplifier topologies. The results show that the performance assessment metrics are equally reliable for the estimation of the device under test nonlinearity order. However, they are inconsistent when used to estimate its memory depth. This limitation is circumvented by applying memoryless post-compensation technique during the memory depth estimation. The proposed approach demonstrates that the dimension estimation can be made objective and independent of the performance assessment metric.",

keywords = "Long Term Evolution, behavioral modeling, distortions, memory effects, memory polynomial, nonlinearity, post-compensation, power amplifiers",

author = "Mohammed Hanzala and Sharawi, \{Mohammad S.\} and Oualid Hammi",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.",

year = "2015",

month = nov,

day = "20",

doi = "10.1109/ICIEA.2015.7334100",

language = "English",

series = "Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "145--150",

booktitle = "Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015",

address = "United States",

}

Hanzala, M, Sharawi, MS & Hammi, O 2015, Accurate estimation of memory polynomial model dimension for dynamic nonlinear RF power amplifiers. in Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015., 7334100, Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015, Institute of Electrical and Electronics Engineers Inc., pp. 145-150. https://doi.org/10.1109/ICIEA.2015.7334100

Accurate estimation of memory polynomial model dimension for dynamic nonlinear RF power amplifiers. / Hanzala, Mohammed; Sharawi, Mohammad S.; Hammi, Oualid.
Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 145-150 7334100 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Accurate estimation of memory polynomial model dimension for dynamic nonlinear RF power amplifiers

AU - Hanzala, Mohammed

AU - Sharawi, Mohammad S.

AU - Hammi, Oualid

PY - 2015/11/20

Y1 - 2015/11/20

N2 - In this paper, the dimension estimation of memory polynomial based power amplifiers' behavioral models is investigated. Comprehensive study of state of the art performance assessment metrics is carried out. To ensure the generality of the conclusions, the study is experimentally validated using three power amplifiers prototypes designed using various transistors technologies and amplifier topologies. The results show that the performance assessment metrics are equally reliable for the estimation of the device under test nonlinearity order. However, they are inconsistent when used to estimate its memory depth. This limitation is circumvented by applying memoryless post-compensation technique during the memory depth estimation. The proposed approach demonstrates that the dimension estimation can be made objective and independent of the performance assessment metric.

AB - In this paper, the dimension estimation of memory polynomial based power amplifiers' behavioral models is investigated. Comprehensive study of state of the art performance assessment metrics is carried out. To ensure the generality of the conclusions, the study is experimentally validated using three power amplifiers prototypes designed using various transistors technologies and amplifier topologies. The results show that the performance assessment metrics are equally reliable for the estimation of the device under test nonlinearity order. However, they are inconsistent when used to estimate its memory depth. This limitation is circumvented by applying memoryless post-compensation technique during the memory depth estimation. The proposed approach demonstrates that the dimension estimation can be made objective and independent of the performance assessment metric.

KW - Long Term Evolution

KW - behavioral modeling

KW - distortions

KW - memory effects

KW - memory polynomial

KW - nonlinearity

KW - post-compensation

KW - power amplifiers

UR - https://www.scopus.com/pages/publications/84960898306

U2 - 10.1109/ICIEA.2015.7334100

DO - 10.1109/ICIEA.2015.7334100

M3 - Conference contribution

AN - SCOPUS:84960898306

T3 - Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015

SP - 145

EP - 150

BT - Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Hanzala M, Sharawi MS, Hammi O. Accurate estimation of memory polynomial model dimension for dynamic nonlinear RF power amplifiers. In Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 145-150. 7334100. (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015). doi: 10.1109/ICIEA.2015.7334100

Accurate estimation of memory polynomial model dimension for dynamic nonlinear RF power amplifiers

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this