OTA-Based Data Acquisition and Signal Separation for Digital Predistortion of Multi-User MIMO Transmitters in 5G

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Title: OTA-Based Data Acquisition and Signal Separation for Digital Predistortion of Multi-User MIMO Transmitters in 5G
Authors: Wang, XiaoyuLi, YueYu, ChaoHong, WeiZhu, Anding
Permanent link: http://hdl.handle.net/10197/11676
Date: 6-Aug-2020
Online since: 2020-11-06T15:57:14Z
Abstract: In this paper, a non-interruptive over-the-air (OTA) data acquisition method is presented to characterize system nonlinearity and calibrate digital predistortion (DPD) in multi-user (MU) multiple-input multiple-output (MIMO) transmitters with low hardware complexity. Based on a unified system model for fully-digital and hybrid MU-MIMO transmitters, the requirements and difficulties of data acquisition for MU-MIMO DPD are outlined first. A versatile OTA data acquisition technique, featuring a multi-observation forward modelling procedure, is thereby developed to obtain power amplifier (PA) output without interrupting the operation of the MIMO transmitters. By using this method, the output of each PA can be reconstructed instead of directly measuring each PA's output, even when the output signals of PAs are correlated. DPD can therefore be effectively constructed to mitigate the distortion. Experimental results demonstrate that the proposed approach can accurately estimate each PA output and linearize all PAs in the array.
Funding Details: Science Foundation Ireland
metadata.dc.description.othersponsorship: National Natural Science Foundation of China
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2020 IEEE
Keywords: 5GDigital predistortionMultiple-input multiple-outputMulti-userOver-the-air
DOI: 10.1109/ims30576.2020.9223978
Language: en
Status of Item: Peer reviewed
Is part of: 2020 IEEE/MTT-S International Microwave Symposium (IMS)
Conference Details: International Microwave Symposium (IMS), Los Angeles, CA, USA, 4-6 August 2020
Appears in Collections:Electrical and Electronic Engineering Research Collection

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