| 基于双谱特征的个体辐射源识别 |
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| 引用本文： | 李楠. 基于双谱特征的个体辐射源识别[J]. 航天电子对抗, 2011, 27(3): 61-64 |
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| 作者姓名： | 李楠 |
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| 作者单位： | 海军飞行学院,辽宁,葫芦岛,125001 |
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| 摘 要： | 针对个体辐射源识别困难的问题,提出了一种基于双谱分析的个体辐射源识别新方法.首先用双谱分析法提取信号的双谱对角切片,利用主成分分析法(PCA)从大量训练样本特征中挑选低维、低复杂度的特征矢量,并融合对分类具有显著贡献的辐射源属性参数作为识别特征矢量.最后采用势函数分类法实现雷达辐射源识别.仿真结果表明基于双谱的识别法能...
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| 关 键 词： | 个体辐射源识别 双谱特征 主成分分析 势函数 |
Specific emitter identification based on bispectrum feature |
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| Li Nan. Specific emitter identification based on bispectrum feature[J]. Aerospace Electronic Warfare, 2011, 27(3): 61-64 |
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| Authors: | Li Nan |
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| Affiliation: | Li Nan(Naval Flying Academy,Huludao 125001,Liaoning,China) |
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| Abstract: | With respect to specific emitter identification,a new identification approach for radar emitter based on bispectrum analysis is proposed.Diagonal slice features of bispectrum which adapts to process radar non-linearity signals are extracted,and principal analysis is utilized to extract low-dimensional feature vectors with low complexity from a large of training sample features.Moreover,emitter attribute parameters significant to identification are merged into the identification feature vector.At last,radar ... |
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| Keywords: | SEI bispectrum feature principal component analysis potential function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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