| 基于独立分量分析的雷达信号分选研究 |
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| 引用本文： | 徐东辉,李钊,马红光,柳冬. 基于独立分量分析的雷达信号分选研究[J]. 无线电工程, 2007, 37(10): 17-20 |
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| 作者姓名： | 徐东辉 李钊 马红光 柳冬 |
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| 作者单位： | 1. 第二炮工程学院,陕西,西安710025
2. 驻石家庄地区军事代表室,河北,石家庄,050081 |
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| 摘 要： | 独立分量分析(Independent Component Analysis,ICA)是近年来发展起来的一种有效的盲信源分离方法。在介绍了独立分量分析基本理论的基础上,将基于负熵最大化的FastICA算法应用于对脉冲多普勒雷达信号和连续波雷达信号进行分选,是一种新方法的尝试,并通过2种性能指标来评价分选的效果。仿真结果表明,该算法能够有效地对脉冲多普勒雷达信号和连续波雷达信号进行分选。
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| 关 键 词： | 独立分量分析 负熵 FastICA 雷达信号分选 |
| 文章编号： | 1003-3106（2007）10-0017-04 |
| 修稿时间： | 2007-04-09 |
Research on Radar Signal Sorting Method Based on ICA |
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| XU Dong-hui,LU Zhao,MA Hong-guang,LIU Dong. Research on Radar Signal Sorting Method Based on ICA[J]. Radio Engineering of China, 2007, 37(10): 17-20 |
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| Authors: | XU Dong-hui LU Zhao MA Hong-guang LIU Dong |
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| Abstract: | Independent Component Analysis(ICA) is a method for blind source separation,which has been developed in recent years.ICA basic principle is discussed in this paper.A FastICA algorithm based on Negentropy-maximization is used for sorting a pulse Doppler radar signal and a continuous-wave radar signal.This method is a new trial.There are two performance specifications to evaluate the sorting.The simulation result shows that this algorithm can efficiently sort the pulse Doppler radar signal and the continuous-wave radar signal. |
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| Keywords: | FastICA |
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