A Multi-channel Adaptive Equalization Method

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI:10.1109/ISRITI54043.2021.9702798

Shanghui Xiao, Mengyao Zhang, Jian Liu, Qiang Xu, Wensheng Pan, Wanzhi Ma, Ying Liu, S. Shao

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Abstract

In recent years, multiple-input multiple-output (MIMO) technology is widely used in wireless communication to make full use of space resources and improve the efficiency and quality of communication. However, due to the coupling effect of capacitance and inductance, the multi-channel transmission system often has the problem of crosstalk, which makes the communication quality degraded or even unable to communicate. Aiming to solve the problem of crosstalk, we proposes a multi-channel adaptive equalization method in this article. Based on solving the problems of channel multipath fading and inter-symbol crosstalk, this method further suppresses the coupling crosstalk between multiple channels. In this article, we demonstrates the rationality of the method through modeling of the transceiver system and formula derivation, we also verified the effectiveness of the method by the simulation processing of the measured data of the dual-polarized antenna. Simulations show that by training the equalizer with a reference signal, the EVM of the signal can be improved by about 15-20dB.

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一种多通道自适应均衡方法

近年来，为了充分利用空间资源，提高通信效率和质量，多输入多输出(MIMO)技术被广泛应用于无线通信中。然而，由于电容和电感的耦合作用，多路传输系统往往存在串扰问题，使通信质量下降，甚至无法通信。为了解决串扰问题，本文提出了一种多通道自适应均衡方法。该方法在解决信道多径衰落和码间串扰问题的基础上，进一步抑制了多信道间的耦合串扰。本文通过对收发器系统的建模和公式推导，论证了该方法的合理性，并通过对双极化天线实测数据的仿真处理，验证了该方法的有效性。仿真结果表明，用参考信号训练均衡器可使信号的EVM提高约15 ~ 20db。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

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