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Performance of the max-dmin precoder in impulsive noise for railway communications in tunnels

机译：隧道铁路通信中脉冲噪声中max-dmin预编码器的性能

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摘要

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 This implies that the traditional Gaussian noise model is no longer valid and an impulsive noise model should be considered.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.
机译：在本文中，我们研究了在铁路隧道中存在脉冲噪声的情况下，max-dmin MIMO预编码器的误码率（BER）性能。测量表明，在悬链线附近的火车车顶上的天线处接收到的信号受到电磁噪声干扰（EMI）的影响。这意味着传统的高斯噪声模型不再有效，应考虑脉冲噪声模型。基于此观察结果，我们基于最小距离准则分析了max-dmin MIMO预编码技术的性能，并将脉冲噪声建模为alpha稳定分布。我们提出了两个有趣的观点：i）在存在重尾阿尔法稳定脉冲噪声的情况下，应用于隧道中MIMO上下文的max-dmin预编码器的错误概率的近似值;以及ii）在考虑到隧道中的MIMO信道模型和脉冲噪声，这是通过测量获得的完整通信系统的误码率。基于高斯或柯西定律对脉冲噪声的近似，提出了两种向信道解码器提供软判决的软检测技术。

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