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脉冲噪声单脉冲分析及建模
引用本文:黄琼,龚航,王毅,李松浓,郑可,孙洪亮.脉冲噪声单脉冲分析及建模[J].重庆邮电大学学报(自然科学版),2019,31(2):238-244.
作者姓名:黄琼  龚航  王毅  李松浓  郑可  孙洪亮
作者单位:重庆邮电大学 理学院,重庆400065;重庆邮电大学 通信与信息工程学院,重庆400065;重庆邮电大学 通信与信息工程学院,重庆,400065;重庆邮电大学 通信与信息工程学院,重庆400065;国网重庆市电力公司 电力科学研究院,重庆400014;国网重庆市电力公司 博士后科研工作站,重庆400014;国网重庆市电力公司 电力科学研究院,重庆,400014
基金项目:重庆市科委重点产业共性关键技术创新专项(cstc2015zdcy ztzx40008)
摘    要:脉冲噪声是影响电力线通信的主要因素,在脉冲宽度范围内它不仅具有突发性,且具有一定的包络特性。而现有模型往往忽略了该包络特性,针对该问题,提出一种新的建模方法。该方法基于包络特性在频域上表现为多线段特性,使用马尔科夫链(Markov chain,MC)建立频域极值点序列的统计模型,然后使用该模型对脉冲噪声频域实部和虚部进行拟合,再采用快速傅里叶逆变换(inverse fast Fourier transform,IFFT)产生在时域上具备该包络特性的单脉冲波形。仿真结果表明,提出方法所构造的单脉冲波形不仅在统计规律上与真实噪声相同,而且在其突发性基础上展现良好的包络特性。

关 键 词:电力线通信  脉冲噪声  频域极值点  马尔科夫链
收稿时间:2018/3/12 0:00:00
修稿时间:2019/2/22 0:00:00

Single pulse analysis and modeling for impulse noise
HUWANG Qiong,GONG Hang,WANG Yi,LI Songnong,ZHENG Ke and SUN Hongliang.Single pulse analysis and modeling for impulse noise[J].Journal of Chongqing University of Posts and Telecommunications,2019,31(2):238-244.
Authors:HUWANG Qiong  GONG Hang  WANG Yi  LI Songnong  ZHENG Ke and SUN Hongliang
Abstract:Impulsive noise is the main factor affecting power line communication. In the pulse width range, it not only has abruptness, but also has certain envelope characteristics. However, the existing models often neglect the envelope characteristics. Aiming at this problem, this paper proposes a new modeling method. The method is based on the envelope characteristics in the frequency domain as multi-segment characteristics. The Markov chain (MC) is used to establish the statistical model of the frequency domain extreme point sequence, and then it is used to calculate the impulse noise frequency domain real part. And then an inverse fast Fourier transform (IFFT) is used to generate a single pulse waveform having the envelope characteristic in the time domain. Simulation results show that the single pulse waveform constructed by the proposed method not only has the same statistical characteristics as the real noise, but also exhibits good envelope characteristics on the basis of its abruptness.
Keywords:power line communication  impulse noise  frequency-domain extreme point  Markov chain
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