| 独立分量分析在雷达信号分选上的应用 |
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| 引用本文： | 海磊. 独立分量分析在雷达信号分选上的应用[J]. 电子对抗, 2007, 0(3): 13-17 |
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| 作者姓名： | 海磊 |
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| 作者单位： | 解放军电子工程学院,合肥230037 |
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| 摘 要： | 传统的雷达信号分选主要是基于统计的思想，通过对脉冲序列的PRI分析，依据PRI的调制方式，将对应的雷达信号分选出来。这种方法存在运算量大，速度慢，且准确率不高的缺点。文章提出将含噪的快速独立分量分析算法应用于雷达信号的分选并分析了不同信噪比下分离的效果。仿真试验证明了该算法可以取得很好的雷达信号分离效果。
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| 关 键 词： | 盲源分离 FastICA 信噪比 雷达信号分选 |
| 修稿时间： | 2006-12-05 |
The Application of Independent Component Analysis in Radar Signal Classification |
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| Hai Lei. The Application of Independent Component Analysis in Radar Signal Classification[J]. Electronic Warfare, 2007, 0(3): 13-17 |
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| Authors: | Hai Lei |
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| Affiliation: | Electronic Engineering Institute of PLA, Hefei 230037, China |
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| Abstract: | The traditional methods of radar signal classification realize the classification of radar signals by the modulation mode of PRI(Pulse Repetition Interval)based on the principle of statistics. However, they have some defects such as enormous data, lower rate and lower precision. A new method of radar signal classification based on fast independent component analysis is discussed in this paper. The simulation results show this method can obtain better effect of radar signal classification. |
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| Keywords: | blind source separation FastICA SNR radar signal classification |
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