摘要
地铁站与外界之间的低频无线电通信受噪声干扰严重,为了实现对噪声的有效抑制,在武汉市采集了多个地铁站内的低频电磁噪声数据,分别从时域、频域和统计域的角度对噪声特性进行了分析,提出采用Alpha稳定分布模型描述噪声的统计特性,通过无穷方差检验、Q-Q图、基于特征函数的P值拟合优度检验、计算R_square指标等方法分析了Alpha稳定分布对噪声数据的拟合性能。研究结果表明,地铁站低频电磁噪声分布具有非高斯特征,可以用Alpha稳定分布很好地描述其分布特性。
The low-frequency radio communication between the subway station and the outside world is seriously disturbed by noise.In order to achieve effective noise suppression,low-frequency electromagnetic noise data from multiple subway stations is collected on Wuhan.The noise characteristics are analyzed from the perspectives of time domain,frequency domain and statistical domain,and an Alpha stable distribution model is proposed to describe the statistical characteristics of noise.The fitting performance of Alpha stable distribution to noise data is analyzed by methods such as infinite variance test,QQ plot,P-value fit test based on characteristic function,and calculation of R_square index.The research results show that the low-frequency electromagnetic noise distribution of subway stations has non-Gaussian characteristics,and its distribution characteristics can be described by the stable Alpha distribution.
作者
邓羽捷
付天晖
王永斌
侯文达
DENG Yujie;FU Tianhui;WANG Yongbin;HOU Wenda(College of Electronic Engineering,Naval University of Engineering,Wuhan 430033)
出处
《计算机与数字工程》
2021年第9期1866-1871,共6页
Computer & Digital Engineering
基金
国家自然科学基金项目(编号:41774021)资助。
关键词
脉冲噪声
厚尾
ALPHA稳定分布
拟合检验
分布特性
impulse noise
thick tail
alpha stable distribution
fitting test
distribution characteristics