| 基于高阶累积量与神经网络的干扰识别算法 |
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| 引用本文： | 吴昊,张杭.基于高阶累积量与神经网络的干扰识别算法[J].军事通信技术,2008(1). |
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| 作者姓名： | 吴昊 张杭 |
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| 作者单位： | 解放军理工大学通信工程学院研究生2队;解放军理工大学通信工程学院卫星通信系; |
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| 摘 要： | 研究了一种基于高阶累积量和神经网络的干扰识别算法。该方法把卫星通信中常见的各种干扰信号的归一化高阶累积量作为分类特征参数,应用神经网络对特征参数进行分类训练,将接收干扰信号的归一化高阶累积量输入已训练的神经网络进行干扰类型的识别。试验结果表明:该算法在低干信比的情况下具有较高的识别准确率。
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| 关 键 词： | 频谱监测 高阶累积量 神经网络 干扰识别 |
Algorithm for Jamming Recognition Based on High Order Cumulants and Neural Networks |
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| WU Hao ZHANG Hang.Postgraduate Team ICE,PLAUST,Nanjing ,China.Algorithm for Jamming Recognition Based on High Order Cumulants and Neural Networks[J].Journal of Military Communications Technology,2008(1). |
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| Authors: | WU Hao ZHANG HangPostgraduate Team ICE PLAUST Nanjing China |
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| Institution: | WU Hao~1 ZHANG Hang~21.Postgraduate Team 2 ICE,PLAUST,Nanjing 210007,China,2.Department of Satellite Communication ICE |
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| Abstract: | A new algorithm for jamming auto-recognition based on high order cumulants and neural networks was proposed.The method took the normalized high order cumulants of jam- ming as the classified characteristic parameters and trained the parameters with neural networks. Then the normalized high order cumulants of the received jamming was put into trained neural networks for jamming recognition.It is proved that the algorithm can recognize jamming correct- ly under low SNR. |
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| Keywords: | spectrum inspection high order cumulants neural networks jamming recognition |
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