| 低截获概率雷达信号干扰类型分类识别 |
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| 引用本文： | 徐少博,刘以安,唐霜天,吴少鹏.低截获概率雷达信号干扰类型分类识别[J].计算机测量与控制,2011,19(2). |
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| 作者姓名： | 徐少博 刘以安 唐霜天 吴少鹏 |
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| 作者单位： | 1. 江南大学,信息工程学院,江苏,无锡,214122
2. 船舶重工集团公司724研究所,江苏,南京,210003 |
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| 基金项目： | 国防预研应用基础研究基金项目，教育部重点科学研究基金项目 |
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| 摘 要： | 针对三种常见低截获概率雷达信号的干扰类型识别问题,结合分形和分数阶傅里叶变换算法,提取干扰后混合信号的信息维数、盒维数以及分数阶域信号分最能量之比,构造特征向量,然后通过支持向量机对干扰类型分类识别;仿真结果表明:这种方法可以对于扰类型有效分类识别,判断出干扰类型属于同型同频干扰、非同型同频十扰或是带内非同频干扰,对雷达抗干扰设计和系统设计有重要意义.
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| 关 键 词： | 低截获概率 雷达信号 干扰类型 分类识别 |
Disturbance Classification of Radar Signals with Low Probability of Intercept |
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| Xu Shaobo,Liu Yian,Tang Shuangtian,Wu Shaopeng.Disturbance Classification of Radar Signals with Low Probability of Intercept[J].Computer Measurement & Control,2011,19(2). |
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| Authors: | Xu Shaobo Liu Yian Tang Shuangtian Wu Shaopeng |
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| Affiliation: | Xu Shaobo1,Liu Yian1,Tang Shuangtian2,Wu Shaopeng2(1.School of Information Engineering,JiangNan University,Wuxi 214122,China,2.724 Research Institute of CSIC,Nanjing 210003,China ) |
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| Abstract: | For identifying the type of interference problem of three common low probability of intercept radar signals, combined with fractal and fractional Fourier transform algorithm, mixed-signal disturbance extraction of information dimension, box dimension and the fractional domain signal component of the ratio of the energy are extracted to construct feature vector, then the support vector machine classification is used on the disturbance. Simulation results show that: This method can be an effective classificat... |
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| Keywords: | LPI radar signal disturbance classification recognition |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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