一种基于宽带频谱的信号提取方法  

Signal extraction method based on broadband spectrum

作　　者：冯冬冬 刘奇[2] 朱春花[1] 王玥[2] 刘晔[2] 蔡明辉[2] 陈卯蒸[2] FENG Dongdong;LIU Qi;ZHU Chunhua;WANG Yue;LIU Ye;CAI Minghui;CHEN Maozheng(School of Physics and Technology,Xinjiang University,Urumqi 830046,China;Xinjiang Astronomical Observatory,Chinese Academy of Sciences,Urumqi 830011,China)

机构地区：[1]新疆大学物理科学与技术学院,新疆乌鲁木齐830046 [2]中国科学院新疆天文台,新疆乌鲁木齐830011

出　　处：《现代电子技术》2021年第17期67-71,共5页Modern Electronics Technique

基　　金：国家自然科学基金(11973077);中国科学院“西部之光”人才培养引进计划(2019-XBQNXZ-B-020);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。

摘　　要：针对国际电信联盟ITU-R SM.1753-2建议书中给出的"20%"信噪分离法在适应性和准确率方面的不足,提出一种基于宽带频谱的信号提取方法。首先,依据实测宽带频谱数据样本噪声及信号特征,分析了影响信噪分离的关键因素,结合标准差理论,采用窗口划分法对"20%"信噪分离方法进行改进;其次,以信号提取准确率为目标,对窗口划分宽度、修正系数等关键因素进行优化,提高算法的准确性;最后,运用此方法对实测频谱数据样本进行信噪分离和信号提取,并与现有信号提取方法的准确率进行比对。结果表明,该方法的信号提取准确率最高,能够应用于宽带频谱的信号提取。In view of the shortcomings of the 20% signal-noise separation method given in the International Telecommunication Union(ITU)Recommendation ITU-R SM.1753-2 in terms of adaptability and accuracy,a signal extraction method based on broadband spectrum is proposed. According to the noise and signal characteristics of the measured broadband spectrum data samples,the key factors affecting signal-noise separation are analyzed. In combination with the standard deviation theory,the window partition method is adopted to improve the 20% signal-noise separation method. By taking the accuracy of signal extraction as the goal,the key factors such as window partition width and correction coefficient are optimized to improve the accuracy of the algorithm. The signal-noise separation and signal extraction of the measured spectrum data samples are carried out with the proposed method. The accuracy of the proposed method is compared with that of the existing signal extraction methods. The results show that the proposed method has the highest signal extraction accuracy. Therefore,it can be applied to the signal extraction of broadband spectrum.

关 键 词：信号提取 宽带频谱 信号识别 窗口划分 信噪分离 电磁环境监测 

分 类 号：TN911.73-34[电子电信—通信与信息系统]