高频地波雷达射频干扰慢时域抑制方法  

Suppression Method of Radio Frequency Interference in Slow Time Domain of High Frequency Ground Wave Radar Data

作　　者：高玉斌 岳显昌[1] 周庆 吴雄斌[1] 张兰[1] GAO Yubin;YUE Xianchang;ZHOU Qing;WU Xiongbin;ZHANG Lan(School of Electronic Information,Wuhan University,Wuhan 430072,China)

机构地区：[1]武汉大学电子信息学院,湖北武汉430072

出　　处：《雷达科学与技术》2023年第1期53-63,73,共12页Radar Science and Technology

基　　金：广东省重点领域研发计划(No.2020B1111020005);湖北省重点研发计划项目(No.2020BCA080);国家科技部重点研发项目(No.2016YFC1401101)。

摘　　要：射频干扰(Radio Frequency Interference,RFI)会对高频地波雷达有用回波产生较大影响。本文提出了一种慢时域射频干扰抑制方法,首先利用频谱监测数据实现射频干扰的分段检测,而后基于射频干扰在慢时域的短时相干性、强距离相关性和方向特性,在常规高阶奇异值分解(Higher-Order Singular Value Decomposition,HOSVD)方法的基础上,结合训练张量三种展开模式矩阵的特点,利用左、右奇异矩阵包含的频率信息实现对干扰子空间的准确估计,进而实现对射频干扰的分段消除。仿真和实测数据的处理结果都表明,该方法可以有效检测并消除射频干扰,提高了数据批处理的运算效率。Radio frequency interference(RFI)has a great influence on the useful echo of high frequency ground wave radar(HFSWR).This paper proposes a slow time domain method to suppress the radio frequency interference.First,spectrum monitoring data is used to achieve segmentation detecting of radio frequency interference.Second,based on the short time coherence,the strong range correlation and the directivity of the RFI,on the basis of the conventional higher⁃order singular value decomposition(HOSVD)method and combined with the characteristics of three expansion modes of training tensor,the frequency information contained in the left and right singularity matrices is used to accurately estimate the interference subspace,and then the piecewise elimination of RFI is realized.Simulation and experimental data processing results show that this method can effectively detect and eliminate RFI,and improve the efficien⁃cy of data batch processing.

关 键 词：高频地波雷达 频谱监测 高阶奇异值分解 射频干扰抑制 

分 类 号：TN972[电子电信—信号与信息处理]