摘要
有效提取宽带频谱中窄带信号,统计和分析电波环境频谱中干扰信号特征,能为射电天文台站干扰源查找及干扰缓解策略提供重要支持。提出一种基于数据拟合的窄带干扰提取方法。首先,介绍了接收机中频频谱数据获取方法。基于中频频谱特征,采用多项式曲线、正弦曲线、高斯曲线对频谱数据进行拟合,分析了三种曲线拟合的残差平方和和相关系数,选用7级高斯曲线作为中频频谱的拟合曲线,基于拟合曲线设定干扰阈值,依据拟合曲线残差,提取宽带频谱中干扰信号;另外,采用7级高斯曲线对典型方向的8组频谱数据进行拟合处理及干扰信号提取,并对拟合结果的残差平方和和相关系数进行分析,验证了干扰提取方法的有效性。
With the rapid development of divert electronic technologies and the increasing of the wireless service,the electromagnetic wave environment of astronomy observatory station become more complex. Effectively extracting narrow-band signals from broadband spectrum,counting and analyzing the interference signal feature of electromagnetic wave environment,which can provide the important supports for finding radio astronomy observatory station interference source and generating interference mitigation strategies. The paper proposes a narrow-band interference extraction method based on data fitting. Firstly,we introduced the method of spectrum data acquisition from receiver IF. Based on IF spectrum features,we fitted spectrum data by Polynomial curve,Sine curve and Gaussian curve,and analyzed the residual sum of squares and correlation coefficient of three kinds of curve fitting results. After that,we chose seven series Gaussian curve as the fitting curve,and set the interference threshold based on fitting curve. According to the residual of fitting curve,we can extract the interference signal from IF spectrum. In addition,we adopted seven series Gaussian curve,and used 8 spectrum data of typical direction to carry on data fitting and interference signal extraction,then we analyzed fitting results of residual sum of squares and correlation coefficient,and verified the validity of the method of interference extraction.
出处
《科学技术与工程》
北大核心
2016年第2期191-197,207,共8页
Science Technology and Engineering
基金
973项目(2015CB857100)
国家自然科学基金项目(11473061
11103056)
中国科学院天文台站设备更新及重大仪器设备运行专项经费支持项目资助
关键词
中频频谱
数据拟合
干扰阈值
干扰提取
IF spectrum
data fitting
interference threshold
interference extraction
