| 基于复杂度特征的干扰识别算法 |
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| 引用本文： | 程昱,陈建忠,牛英滔.基于复杂度特征的干扰识别算法[J].军事通信技术,2010(1). |
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| 作者姓名： | 程昱 陈建忠 牛英滔 |
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| 作者单位： | 解放军理工大学通信工程学院研究生3队;总参谋部第63研究所; |
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| 摘 要： | 复杂度可以用来刻画信号的波形变化特征。文中使用了L-Z复杂度和分形维数这两种复杂度作为干扰识别的特征参数并结合支持向量机对干扰进行分类。仿真结果表明L-Z复杂度和分形维数计算复杂度低,且具有较好的类别差异度,同时文中提出的算法具有较高的识别准确率。
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| 关 键 词： | 干扰识别 复杂度特征 分形维数 |
Algorithm for Jamming Recognition Based on Complexity Measure |
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| CHENG Yu,CHEN Jian-zhong,NIU Ying-tao.Algorithm for Jamming Recognition Based on Complexity Measure[J].Journal of Military Communications Technology,2010(1). |
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| Authors: | CHENG Yu CHEN Jian-zhong NIU Ying-tao |
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| Institution: | 1.Postgraduate Team 3 ICE/a>;PLAUST/a>;Nanjing 210007/a>;China/a>;2.The 63rd Research Institute/a>;PLA General Staff Headquarters/a>;China |
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| Abstract: | The complexity could measure variation features of signal. Lempel-Ziv complexity and fractal dimensionality were exploited as the classified characteristic parameter. Support Vector Machine was used for jamming recognition. Simulation results show that Lempel-Ziv complexity and fractal dimensionality has low computational complexity and well classified discrepancy degree, and that the algorithm can recognize jamming pattern correctly. |
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| Keywords: | jamming recognition complexity measure fractal dimension |
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