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

在线阅读下载全文

作  者:谢志远[1] 魏佳红 赵子龙[1] 

机构地区:[1]华北电力大学,河北保定071003

出  处:《电子技术应用》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)

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.

关 键 词:中压电力线通信 隐马尔科夫链 脉冲噪声 

分 类 号:TN914[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象