| 引用本文: | 张汉华,王伟,姜卫东,等.低分辨雷达基于波形特征的飞机架次判别方法.[J].国防科技大学学报,2003,25(4):38-41 ,52.[点击复制] |
| ZHANG Hanhua,WANG Wei,JIANG Weidong,et al.Classification of the Aircraft Formation for Low Resolution Radar Based on the Waveform Feature[J].Journal of National University of Defense Technology,2003,25(4):38-41 ,52[点击复制] |
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| 低分辨雷达基于波形特征的飞机架次判别方法 |
| 张汉华, 王伟, 姜卫东, 陈曾平 |
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(国防科技大学 ATR重点实验室，湖南 长沙 410073)
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| 摘要: |
| 通过分析低分辨雷达飞机目标回波波形，提取出低分辨雷达飞机目标架次可资分类的特征参数作为飞机目标架次判别的特征向量。最后，采用模糊极大极小神经网络作为分类器，在低分辨雷达目标识别样机系统对机群目标进行分类识别试验中，验证了所提取特征的有效性。 |
| 关键词: 低分辨雷达 特征提取 目标识别 |
| DOI： |
| 投稿日期：2003-01-14 |
| 基金项目:国家部委项目资助(4130304-01) |
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| Classification of the Aircraft Formation for Low Resolution Radar Based on the Waveform Feature |
| ZHANG Hanhua, WANG Wei, JIANG Weidong, CHEN Zengping |
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(ATR Lab, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| After analyzing the echo data of aircrafts based on Low-resolution radar, this paper has defined and obtained some features of aircrafts as an input for classification by FMM neural networks. The results prove that the features are useful to identify the size and numbers of the aircrafts formation. |
| Keywords: low resolution radar feature extraction target identification |
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