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A cooperative modulation recognition: New paradigm for power line networks in smart grid

机译:协同调制识别:智能电网中电力线网络的新范例

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摘要

Power Line communication (PLC) is an attractive approach to provide information transfer services for future smart grids. However, since various modulations are adopted, it is a great challenge to add new nodes to collect the data from the devices or sensors in in-home PLC networks. In this paper, we propose an approach to automatically access to the PLC network by identifying the modulation of signals. To improve the correct recognition rate on identification of modulations, we propose a multiple input and multiple output (MIMO) based cooperative modulation identification scheme. After receiving the recognition results from accessing nodes, the central server makes the comprehensive and accurate recognition decision on the modulation of the PLC network. Furthermore, the fourth-order cumulants for multiple users are adopted as the feature for this modulation classifier. With the feature, we propose an improved modulation classification algorithm based on the maximum likelihood. Simulations show that a high detection rate and low false positive rate can be achieved as we employ the cooperative modulation identifying scheme and the improved recognition algorithm.
机译:电力线通信(PLC)是为未来的智能电网提供信息传输服务的一种有吸引力的方法。但是,由于采用了各种调制方式,因此添加新节点以从家庭PLC网络中的设备或传感器收集数据是一个巨大的挑战。在本文中,我们提出了一种通过识别信号调制来自动访问PLC网络的方法。为了提高调制识别的正确识别率,我们提出了一种基于多输入多输出(MIMO)的协同调制识别方案。中央服务器收到访问节点的识别结果后,就对PLC网络的调制做出全面而准确的识别决策。此外,针对该调制分类器的特征采用了多个用户的四阶累积量。有了这个功能,我们提出了一种基于最大似然的改进的调制分类算法。仿真表明,采用协同调制识别方案和改进的识别算法,可以实现较高的检测率和较低的误报率。

著录项

  • 来源
    《Physical Communication》 |2017年第1期|268-276|共9页
  • 作者单位

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology, 210094, Nanjing, China;

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology, 210094, Nanjing, China;

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology, 210094, Nanjing, China;

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology, 210094, Nanjing, China;

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology, 210094, Nanjing, China;

    School of Electronic and Optical Engineering, Nanjing University of Science and Technology, 210094, Nanjing, China;

    Department of Software Engineering, Institute of Cybernetics, National Research Tomsk Polytechnic University, Russia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Smart grid; In-home network; Power line communication; MIMO; Modulation identification;

    机译:智能电网;家庭网络;电力线通讯;MIMO;调制识别;

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