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一种面向频域的通信信号盲干扰检测算法
引用本文:陆溪平,路威,康玉冰.一种面向频域的通信信号盲干扰检测算法[J].军事通信技术,2008(2).
作者姓名:陆溪平  路威  康玉冰
作者单位:解放军理工大学通信工程学院卫星通信系;通信指挥学院军事高技术教研室;
摘    要:针对低干信比和复杂动态情况下传统的干扰检测算法效率不高的问题,提出一种基于盲通信信号频域处理的未知干扰自动检测算法。该方法首先借助快速独立成份分析(FICA)从频谱差分数据中分离干扰和通信信号成份分量,然后利用各分量的峰度作为干扰与通信信号的识别特征检测干扰。实验结果表明,此算法能有效地在干信比小于5 dB的情况下从盲通信信号背景中自动提取未知干扰的信息,实现高精度地盲干扰检测。

关 键 词:独立成份分析  频谱监测  盲干扰检测  峰度  频谱差分数据立方体  

Algorithm for Blind Jams Detecting from Communication Signal Based on Spectrum Data
LU Xi-ping,LU Wei,KANG Yu-bing.Algorithm for Blind Jams Detecting from Communication Signal Based on Spectrum Data[J].Journal of Military Communications Technology,2008(2).
Authors:LU Xi-ping  LU Wei  KANG Yu-bing
Institution:LU Xi-ping1,LU Wei1,KANG Yu-bing2(1.Department of Satellite Communication ICE,PLAUST,Nanjing 210007,China,2.Teaching , Researching Institute of Military High-technology,PLACCU,Wuhan 430010,China)
Abstract:Conventional jams detection methods are inefficient under low SNR and complicated condition.To solve the problem,the paper presented an algorithm for blind jams auto-detecting from communication signal based on spectrum data.This method started by separating the jams and signal components present in the spectrum data cube using a Fast ICA(FICA) based algorithm.The resulting components were ranked according to the feature of kurtosis value and recognizing jams.It is proved that this algorithm can extract the...
Keywords:independent component analysis  spectrum monitoring  blind jams detecting  kurtosis  spectrum difference data cube  
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