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Underwater acoustic communication in the presence of heavy-tailed impulsive noise with bi-parameter cauchy-Gaussian mixture model

机译:双参数柯西-高斯混合模型下存在重尾脉冲噪声的水下声通信

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Underwater acoustic (UWA) noise is dominated by impulsive sources in shallow water areas. This leads to a situation where the noise density function shows a heavier tail than that of the Gaussian density and the performance of traditional Gaussian receiver becomes sub-optimal or even worse. In this paper we investigate the scenario where UWA channel noise is non-Gaussian. Several literatures have shown that heavy-tailed impulsive noise can be very well modelled by the bi-parameter Cauchy-Gaussian mixture (CGM) distribution which is an approximation to the symmetric a-stable class. We derive the analytical expression for probability of error with CGM noise statistics for an M-QAM UWA system, which, to the best of our knowledge, has not yet been reported elsewhere. Also we have simulated a UWA system where the performance of a traditional Gaussian receiver is studied in the presence of CGM noise statistics.
机译:在浅水区,脉冲声源主导着水下声(UWA)噪声。这导致噪声密度函数的尾部比高斯密度的尾部重,并且传统高斯接收机的性能变得次优甚至更差。在本文中,我们研究了UWA信道噪声为非高斯分布的情况。几篇文献表明,通过双参数柯西-高斯混合(CGM)分布可以很好地模拟重尾脉冲噪声,该分布近似于对称的a稳定类。我们使用M-QAM UWA系统的CGM噪声统计数据得出错误概率的解析表达式,据我们所知,尚未在其他地方进行报道。我们还模拟了一个UWA系统,其中在存在CGM噪声统计的情况下研究了传统高斯接收机的性能。

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