Digital Predistortion for Hybrid MIMO Transmitters
Abdelaziz, Mahmoud ; Anttila, Lauri ; Brihuega, Alberto ; Tufvesson, Fredrik LU
and Valkama, Mikko
(2018)
In IEEE Journal on Selected Topics in Signal Processing
- Abstract
This article investigates digital predistortion (DPD) linearization of hybrid beamforming large-scale antenna transmitters. We propose a novel DPD processing and learning technique for an antenna sub-array, which utilizes a combined signal of the individual power amplifier (PA) outputs in conjunction with a decorrelation-based learning rule. In effect, the proposed approach results in minimizing the nonlinear distortions in the direction of the intended receiver. This feature is highly desirable, since emissions in other directions are naturally weak due to beamforming. The proposed parameter learning technique requires only a single observation receiver, and therefore supports simple hardware implementation. It is also shown to clearly... (More)
This article investigates digital predistortion (DPD) linearization of hybrid beamforming large-scale antenna transmitters. We propose a novel DPD processing and learning technique for an antenna sub-array, which utilizes a combined signal of the individual power amplifier (PA) outputs in conjunction with a decorrelation-based learning rule. In effect, the proposed approach results in minimizing the nonlinear distortions in the direction of the intended receiver. This feature is highly desirable, since emissions in other directions are naturally weak due to beamforming. The proposed parameter learning technique requires only a single observation receiver, and therefore supports simple hardware implementation. It is also shown to clearly outperform the current state-of-the-art technique which utilizes only a single PA for learning. Analysis of the feedback network amplitude and phase imbalances reveals that the technique is robust even to high levels of such imbalances. Finally, we also show that the array system out-of-band emissions are well-behaving in all spatial directions, and essentially below those of the corresponding single-antenna transmitter, due to the combined effects of the DPD and beamforming.
(Less)
- author
- Abdelaziz, Mahmoud
; Anttila, Lauri
; Brihuega, Alberto
; Tufvesson, Fredrik
LU
and Valkama, Mikko
- organization
- publishing date
- 2018-04-07
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- 5G, digital predistortion, hybrid beamforming, large-array transmitters, out-of-band emissions, power amplifiers
- in
- IEEE Journal on Selected Topics in Signal Processing
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85045212003
- ISSN
- 1932-4553
- DOI
- 10.1109/JSTSP.2018.2824981
- language
- English
- LU publication?
- yes
- id
- c724579a-d2f8-4003-ba85-06da4044d500
- date added to LUP
- 2018-04-18 07:55:06
- date last changed
- 2022-05-10 22:51:50
@article{c724579a-d2f8-4003-ba85-06da4044d500,
abstract = {{<p>This article investigates digital predistortion (DPD) linearization of hybrid beamforming large-scale antenna transmitters. We propose a novel DPD processing and learning technique for an antenna sub-array, which utilizes a combined signal of the individual power amplifier (PA) outputs in conjunction with a decorrelation-based learning rule. In effect, the proposed approach results in minimizing the nonlinear distortions in the direction of the intended receiver. This feature is highly desirable, since emissions in other directions are naturally weak due to beamforming. The proposed parameter learning technique requires only a single observation receiver, and therefore supports simple hardware implementation. It is also shown to clearly outperform the current state-of-the-art technique which utilizes only a single PA for learning. Analysis of the feedback network amplitude and phase imbalances reveals that the technique is robust even to high levels of such imbalances. Finally, we also show that the array system out-of-band emissions are well-behaving in all spatial directions, and essentially below those of the corresponding single-antenna transmitter, due to the combined effects of the DPD and beamforming.</p>}},
author = {{Abdelaziz, Mahmoud and Anttila, Lauri and Brihuega, Alberto and Tufvesson, Fredrik and Valkama, Mikko}},
issn = {{1932-4553}},
keywords = {{5G; digital predistortion; hybrid beamforming; large-array transmitters; out-of-band emissions; power amplifiers}},
language = {{eng}},
month = {{04}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Journal on Selected Topics in Signal Processing}},
title = {{Digital Predistortion for Hybrid MIMO Transmitters}},
url = {{http://dx.doi.org/10.1109/JSTSP.2018.2824981}},
doi = {{10.1109/JSTSP.2018.2824981}},
year = {{2018}},
}