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

机译:电子物理系统中的脉冲噪声对控制器局域网的误码率分析

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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在网络物理系统(CPS)中紧密相连。计算组件和物理组件通过通信网络连接。但是,物理环境的高度动态性可能导致网络性能无法预测。为了获得CPS的最佳综合性能,必须仔细定量分析通信中的物理障碍。本文介绍了真实信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。得出包含噪声影响的接收信号的概率密度函数。然后将该模型应用于控制器局域网(CAN)。建立了CAN的误码率(BER)和脉冲噪声参数之间的关系,而在先前发表的研究中并未很好地解决这种关系。与现有的脉冲噪声模型相比,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。不同物理场景下的定量分析结果有助于通过精确的补偿机制提高CPS的综合性能。

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