隧道铁路通信脉冲噪声下最大差分预编码器的性能研究

Jean-Marc Kwadjane, B. Vrigneau, C. Langlais, Y. Cocheril, M. Berbineau
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引用次数: 4

摘要

本文研究了铁路隧道中存在脉冲噪声时最大最小MIMO预编码器的误码率性能。测量结果表明,靠近接触网的列车车顶天线接收到的信号受到电磁噪声干扰。这意味着传统的高斯噪声模型已不再有效,而应考虑脉冲噪声模型。在此基础上,我们分析了基于最小距离准则的最大最小MIMO预编码技术的性能,该技术将脉冲噪声建模为α稳定分布。我们提出了两个感兴趣的点:i)在存在重尾α稳定脉冲噪声的隧道中应用于MIMO上下文的最大最小预编码器的错误概率的近近值,以及ii)在考虑隧道和脉冲噪声中的MIMO信道模型的完整通信系统的误码率方面的性能评估,都是通过测量获得的。提出了两种软检测技术,基于高斯定律或柯西定律对脉冲噪声的近似,为信道解码器提供软决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of the max-dmin precoder in impulsive noise for railway communications in tunnels
In this paper, we investigate the bit error rate (BER) performance of the max-dmin MIMO precoder in presence of impulsive noise in a railway tunnel. Measurements showed that the received signal at the antenna on the moving train roof near the catenary suffers from electromagnetic noise interference (EMI). This implies that the traditional Gaussian noise model is no longer valid and an impulsive noise model should be considered. Based on this observation, we analyze the performance of the max-dmin MIMO precoding technique, based on the minimum distance criterion, with impulsive noise modeled as an alpha-stable distribution. We present two points of interest: i) an approximation of the error probability of the max-dmin precoder, applied to the MIMO context in tunnel, in the presence of heavy tailed alpha-stable impulsive noise, and ii) the performance evaluation, in terms of bit error rate, of a complete communication system, considering a MIMO channel model in tunnel and impulsive noise, both obtained by measurements. Two soft detection techniques, providing the soft decisions to the channel decoder, are proposed, based on the approximation of the impulsive noise by either a Gaussian or a Cauchy law.
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