Efficient low-complexity digital predistortion for power amplifier linearization

In this paper, a low-complexity model is proposed for linearizing power amplifiers with memory effects using the digital predistortion (DPD) technique. In the proposed model, the linear, low-order nonlinear and high-order nonlinear memory effects are computed separately to provide flexibility in con...

Full description

Bibliographic Details
Main Authors: Yousif, Siba Monther, M. Sidek, Roslina, Mekki, Anwer Sabah, Sulaiman, Nasri, Varahram, Pooria
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2016
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/54130/1/Efficient%20low-complexity%20digital%20predistortion%20for%20power%20amplifier%20linearization.pdf
_version_ 1796976019158073344
author Yousif, Siba Monther
M. Sidek, Roslina
Mekki, Anwer Sabah
Sulaiman, Nasri
Varahram, Pooria
author_facet Yousif, Siba Monther
M. Sidek, Roslina
Mekki, Anwer Sabah
Sulaiman, Nasri
Varahram, Pooria
author_sort Yousif, Siba Monther
collection UPM
description In this paper, a low-complexity model is proposed for linearizing power amplifiers with memory effects using the digital predistortion (DPD) technique. In the proposed model, the linear, low-order nonlinear and high-order nonlinear memory effects are computed separately to provide flexibility in controlling the model parameters so that both high performance and low model complexity can be achieved. The performance of the proposed model is assessed based on experimental measurements of a commercial class AB power amplifier by applying a single-carrier wideband code division multiple access (WCDMA) signal. The linearity performance and the model complexity of the proposed model are compared with the memory polynomial (MP) model and the DPD with single-feedback model. The experimental results show that the proposed model outperforms the latter model by 5 dB in terms of adjacent channel leakage power ratio (ACLR) with comparable complexity. Compared to MP model, the proposed model shows improved ACLR performance by 10.8 dB with a reduction in the complexity by 17% in terms of number of floating-point operations (FLOPs) and 18% in terms of number of model coefficients.
first_indexed 2024-03-06T09:19:46Z
format Article
id upm.eprints-54130
institution Universiti Putra Malaysia
language English
last_indexed 2024-03-06T09:19:46Z
publishDate 2016
publisher Institute of Advanced Engineering and Science
record_format dspace
spelling upm.eprints-541302018-03-01T00:13:20Z http://psasir.upm.edu.my/id/eprint/54130/ Efficient low-complexity digital predistortion for power amplifier linearization Yousif, Siba Monther M. Sidek, Roslina Mekki, Anwer Sabah Sulaiman, Nasri Varahram, Pooria In this paper, a low-complexity model is proposed for linearizing power amplifiers with memory effects using the digital predistortion (DPD) technique. In the proposed model, the linear, low-order nonlinear and high-order nonlinear memory effects are computed separately to provide flexibility in controlling the model parameters so that both high performance and low model complexity can be achieved. The performance of the proposed model is assessed based on experimental measurements of a commercial class AB power amplifier by applying a single-carrier wideband code division multiple access (WCDMA) signal. The linearity performance and the model complexity of the proposed model are compared with the memory polynomial (MP) model and the DPD with single-feedback model. The experimental results show that the proposed model outperforms the latter model by 5 dB in terms of adjacent channel leakage power ratio (ACLR) with comparable complexity. Compared to MP model, the proposed model shows improved ACLR performance by 10.8 dB with a reduction in the complexity by 17% in terms of number of floating-point operations (FLOPs) and 18% in terms of number of model coefficients. Institute of Advanced Engineering and Science 2016-06 Article NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/54130/1/Efficient%20low-complexity%20digital%20predistortion%20for%20power%20amplifier%20linearization.pdf Yousif, Siba Monther and M. Sidek, Roslina and Mekki, Anwer Sabah and Sulaiman, Nasri and Varahram, Pooria (2016) Efficient low-complexity digital predistortion for power amplifier linearization. International Journal of Electrical and Computer Engineering, 6 (3). pp. 1096-1105. ISSN 2088-8708 Digital predistortion; Memory effects; Memory polynomial; Model complexity; Power amplifiers 10.11591/ijece.v6i3.10328
spellingShingle Digital predistortion; Memory effects; Memory polynomial; Model complexity; Power amplifiers
Yousif, Siba Monther
M. Sidek, Roslina
Mekki, Anwer Sabah
Sulaiman, Nasri
Varahram, Pooria
Efficient low-complexity digital predistortion for power amplifier linearization
title Efficient low-complexity digital predistortion for power amplifier linearization
title_full Efficient low-complexity digital predistortion for power amplifier linearization
title_fullStr Efficient low-complexity digital predistortion for power amplifier linearization
title_full_unstemmed Efficient low-complexity digital predistortion for power amplifier linearization
title_short Efficient low-complexity digital predistortion for power amplifier linearization
title_sort efficient low complexity digital predistortion for power amplifier linearization
topic Digital predistortion; Memory effects; Memory polynomial; Model complexity; Power amplifiers
url http://psasir.upm.edu.my/id/eprint/54130/1/Efficient%20low-complexity%20digital%20predistortion%20for%20power%20amplifier%20linearization.pdf
work_keys_str_mv AT yousifsibamonther efficientlowcomplexitydigitalpredistortionforpoweramplifierlinearization
AT msidekroslina efficientlowcomplexitydigitalpredistortionforpoweramplifierlinearization
AT mekkianwersabah efficientlowcomplexitydigitalpredistortionforpoweramplifierlinearization
AT sulaimannasri efficientlowcomplexitydigitalpredistortionforpoweramplifierlinearization
AT varahrampooria efficientlowcomplexitydigitalpredistortionforpoweramplifierlinearization