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隐马尔科夫链在脉冲噪声建模中的应用 被引量:3

Application of hidden Markov chain in impulsive noise modeling
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摘要 在中压电力线信道噪声中,随机脉冲噪声是影响中压电力线通信的主要因素。通过对中压电力线信道脉冲噪声的测量和统计,得到脉冲宽度和脉冲间隔时间的概率分布曲线。基于隐马尔科夫链建立了脉冲宽度和脉冲间隔时间的统计模型,通过拟合实际测量的概率分布曲线,得到模型参数。模型仿真结果显示,所建模型和实测概率曲线有较好的重合度。最终仿真实现了参数符合统计模型的随机脉冲噪声,为电力线通信进一步研究提供了理论基础。 In the medium-voltage power line channel noises, random impulse noise is a major factor affecting the medium voltage power line communication. In this paper, medium-voltage power line channel impulse noise is measured and counted. And then the probability distribution curves of the pulse width and the pulse interval time are drawn. Based on hidden Markov chain model, statistical models of pulse width and pulse interval time are established. The model parameters are obtained by fitting the measured probability distribution curve. Model simulation results show that the model and the actual probability curve have a good degree of coincidence. At last, random pulse noise whose parameters meet statistical model is simulated. And a theoretical basis is provided for power line communication further study.
机构地区 华北电力大学
出处 《电子技术应用》 北大核心 2014年第9期98-100,104,共4页 Application of Electronic Technique
基金 国家自然科学基金项目(61172075)
关键词 中压电力线通信 隐马尔科夫链 脉冲噪声 medium-voltage power line hidden Markov chain impulse noise
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参考文献7

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二级参考文献6

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