使用自动编码器和 OSD 的新戈莱解码方法

IF 4.1 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Hyun Woo Cho, Young Joon Song
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引用次数: 0

摘要

在本研究中,我们探索了利用机器学习技术(特别是自动编码器 (AE))对线性块编码进行解码的潜力。我们的研究结果表明,这种方法优于传统的有序统计解码(OSD)方法,尤其是在瑞利衰落信道环境中。我们在加性白高斯噪声和瑞利衰落信道条件下对 AE 进行了严格训练,以确保其性能的鲁棒性。AE 的输出以适当的方式与接收向量相结合,以执行 OSD。通过实验,我们证明了当我们使用 (23,12) Golay 编码时,在瑞利衰落信道中这种拟议的解码方法比传统的 OSD 方法产生了更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Golay decoding method using auto-encoder and OSD

In this study, we explore the potential of leveraging machine learning techniques, specifically auto-encoders (AE), for the decoding of linear block codes. Our findings suggest that this approach can outperform the conventional ordered statistics decoding (OSD) method, especially in a Rayleigh fading channel environment. We have rigorously trained the AE under both additive white Gaussian noise and Rayleigh fading channel conditions to ensure robustness in its performance. The output of the AE is combined with the received vector in a suitable manner to perform OSD. Through our experiments, we demonstrate that this proposed decoding approach yields better results than the conventional OSD method in Rayleigh fading channel when we used (23,12) Golay code.

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来源期刊
ICT Express
ICT Express Multiple-
CiteScore
10.20
自引率
1.90%
发文量
167
审稿时长
35 weeks
期刊介绍: The ICT Express journal published by the Korean Institute of Communications and Information Sciences (KICS) is an international, peer-reviewed research publication covering all aspects of information and communication technology. The journal aims to publish research that helps advance the theoretical and practical understanding of ICT convergence, platform technologies, communication networks, and device technologies. The technology advancement in information and communication technology (ICT) sector enables portable devices to be always connected while supporting high data rate, resulting in the recent popularity of smartphones that have a considerable impact in economic and social development.
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