摘要
电力线通信脉冲噪声干扰是影响通信系统性能的主要因素之一。文中针对电力线中的脉冲噪声,采用基于稀疏贝叶斯学习算法的抗脉冲方法,将电力线信道中空子载波包含的信息用于脉冲噪声估计,通过基于正交频分复用(OFDM)的宽带电力线载波通信系统,在实际室内电压电网中,验证了算法的可行性。
Impulsive noise is one of the key impacts on power line communication performance. This paper focuses on the suppression of impulsive noise, where the noise mitigation method based on sparse Bayesian learning algorithm is adopted. Besides, the simulation is also conducted in the real broadband orthogonal frequency division multiplexing （OFDM）power line communication system to verify the performance of this method.
作者
薛晶
张蕊
于广亮
郑涛
XUE Jing ZHANG Rui YU Guangliang ZHENG Tao(Xi＇ an Electric Power College, Xi＇ an 710032, Shaanxi, China State Grid Shaanxi Electric Power Economic Research Institute, Xi＇ an 710048, Shaanxi, China Xi＇ an Jiaotong University, Xi＇ an 710049, Shaanxi, China)
出处
《电网与清洁能源》
北大核心
2017年第4期87-91,共5页
Power System and Clean Energy
基金
高等学校博士学科点专项科研基金(20130201120008)~~
关键词
电力线通信
脉冲噪声
稀疏贝叶斯
噪声抑制
power line communication
impulsive noise
sparse Bayesian learning algorithm
noise suppression
