Iterative Learning Control Assisted Neural Network for Digital Predistortion of MIMO Power Amplifier

Kenan Li, Ning Guan, Hua Wang*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

Digital predistortion (DPD) technique has already been studied and applied in traditional SISO system. However, when it comes to multiple-input multiple- output (MIMO) systems, new problems such as crosstalk effects must be taken into consideration. In this paper, we propose a neural network based DPD scheme assisted by iterative learning control (ILC) for MIMO system. The proposed method uses direct learning architecture in DPD and can combat nonlinear crosstalk effects. Simulation results show that the proposed method achieves similar or even better performance than the existing polynomial based approach in the presence of nonlinear crosstalk. In addition, the proposed method is computational efficient and is easier for implementation.

源语言英语
主期刊名2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
1-5
页数5
ISBN(电子版)9781538663554
DOI
出版状态已出版 - 20 7月 2018
活动87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, 葡萄牙
期限: 3 6月 20186 6月 2018

出版系列

姓名IEEE Vehicular Technology Conference
2018-June
ISSN(印刷版)1550-2252

会议

会议87th IEEE Vehicular Technology Conference, VTC Spring 2018
国家/地区葡萄牙
Porto
时期3/06/186/06/18

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