| 基于神经网络的雷达抗干扰方法综述 |
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| 引用本文： | 尹永刚,黄德永,李建勋. 基于神经网络的雷达抗干扰方法综述[J]. 雷达与对抗, 2008, 0(1): 5-9 |
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| 作者姓名： | 尹永刚 黄德永 李建勋 |
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| 作者单位： | 炮兵学院,安徽,合肥,230031;94326部队,山东,潍坊,261000;装甲兵工程学院,北京,100072 |
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| 摘 要： | 针对目前雷达抗干扰方法存在的局限性,提出了将神经网络技术应用于雷达抗干扰的研究思路。首先介绍了在雷达抗干扰领域应用比较成功的3种神经网络模型:BP网络、RBF网络和Kohonen网络;然后概括了神经网络应用于雷达抗干扰的3种主要途径:神经网络用于建模、用于特征提取和用于分类;最后对下一步的研究进行了总结与展望,分析了神经网络与其他技术相结合在雷达抗干扰中的应用前景。
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| 关 键 词： | 雷达抗干扰 神经网络 建模 特征提取 分类 |
A survey of the radar ECCM methods based on neural network |
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| YIN Yong-gang,HUANG De-yong,LI Jian-xun. A survey of the radar ECCM methods based on neural network[J]. Radar & Ecm, 2008, 0(1): 5-9 |
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| Authors: | YIN Yong-gang HUANG De-yong LI Jian-xun |
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| Affiliation: | YIN Yong-gang1,HUANG De-yong2,LI Jian-xun3 |
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| Abstract: | With the consideration of the limitation of current radar ECCM methods,a new idea of applying neural network to radar ECCM is proposed.Firstly,three kinds of neural network models(BP network,RBF network and Kohonen network) that are applied successfully in radar ECCM are introduced.Then three main ways(modeling,feature extracting and classifying) of applying neural network in radar ECCM are generalized.Finally the combination of the neural network and other intelligent technologies such as time frequency analysis and genetic algorithm are analyzed. |
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| Keywords: | radar ECCM neural network modeling feature extraction classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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