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BER Analysis for Controller Area Network Impaired by the Impulse Noise in Cyber-Physical Systems

机译:网络地区脉冲噪声损害的控制器区域网络的分析

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The physical space and the cyber space are deeply coupled in Cyber-physical systems (CPS). The computing components and the physical components are connected via the communication network. However, highly dynamics of the physical environments may lead to unpredictable performance of the network. In order to achieve the best synthesized performance of CPS, the physical impairments on communication must be quantitatively analyzed carefully. The paper introduces a mathematical model of the impulse noise under the realistic channels. The model takes different parameters of the impulse noise into consideration, especially the impulse width. The probability density function of the receiving signals embracing the impact of the noise is derived. Then the model is applied to Controller Area Network (CAN). The relations between the bit error rate (BER) of CAN and the parameters of the impulse noise, which is not well addressed in previously published studies, are established. Compared with the existing models of the impulse noise, the new model not only includes most of these models, but considers the bursty nature of the impulse noise. The results of the quantitative analysis under different physical scenarios are helpful to improve the synthesized performance of CPS via accurate compensation mechanisms.
机译:物理空间和网络空间深深耦合在网络 - 物理系统(CPS)中。计算组件和物理分量通过通信网络连接。然而,物理环境的高度动态可能导致网络的不可预测性能。为了达到CPS的最佳合成性能,必须仔细分析通信的物理障碍。本文介绍了现实渠道下脉冲噪声的数学模型。该模型考虑了脉冲噪声的不同参数,尤其是脉冲宽度。推导了接收信号的概率密度函数,其具有噪声的影响。然后该模型应用于控制器区域网络(CAN)。建立了圆形错误率(BER)与脉冲噪声的参数之间的关系,在前发表的研究中没有很好地解决。与现有模型的脉冲噪声相比,新模型不仅包括这些模型中的大多数,而且考虑了脉冲噪声的突发性质。不同物理情景下定量分析的结果有助于通过准确的补偿机制来改善CP的合成性能。

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