An IQ Imbalance Compensation Method with Neural Network in SC-FDE System

Dai Wenjia

doi:10.47297/taposatWSP2633-456908.20240501

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An IQ Imbalance Compensation Method with Neural Network in SC-FDE System

5卷第1期

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An IQ Imbalance Compensation Method with Neural Network in SC-FDE System
An IQ Imbalance Compensation Method with Neural Network in SC-FDE System
University of Electronic Science and Technology of China
2024年5卷第1期页码：52-60
纸质出版日期： 2024-06-30 ，
DOI：10.47297/taposatWSP2633-456908.20240501
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(2024). An IQ Imbalance Compensation Method with Neural Network in SC-FDE System. 科技理论与实践（英文版）, 5(1), 52-60.

Dai Wenjia.An IQ Imbalance Compensation Method with Neural Network in SC-FDE System[J].Theory and Practice of Science and Technology,2024,05(01):52-60.
(2024). An IQ Imbalance Compensation Method with Neural Network in SC-FDE System. 科技理论与实践（英文版）, 5(1), 52-60. DOI： 10.47297/taposatWSP2633-456908.20240501.

Dai Wenjia.An IQ Imbalance Compensation Method with Neural Network in SC-FDE System[J].Theory and Practice of Science and Technology,2024,05(01):52-60. DOI： 10.47297/taposatWSP2633-456908.20240501.

摘要

Abstract

With the development of wireless communication towards mmWare and Terahertz (THz) frequency bands

hardware impairments such as IQ imbalance nonlinear distortion become increasingly critical implementation challenges. In this paper

we presented deep learning algorithm based physical-layer receiver solution

with neural network in frequency-domain to efficiently compensate the IO imbalance in Single-carrier frequency-domain equalization (SC-FDE). It is evident from the BER results that deep learning algorithms (CNN and RNN) performs better than the state of art methods known as the Least Square method. In addition

the proposed neural networks are shown to be robust to the variant of parameter chances

which makes them appealing for practical implementation.

关键词

Keywords

SC-FDEIQ Imbalancedeep learningNeural networkCNNRNN

references

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