| 基于Gabor原子变换和支持向量机的毫米波雷达目标识别方法 |
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| 引用本文： | 杨国,李兴国.基于Gabor原子变换和支持向量机的毫米波雷达目标识别方法[J].兵工学报,2007,28(7):826-829. |
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| 作者姓名： | 杨国 李兴国 |
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| 作者单位： | 南京理工大学,毫米波光波近感技术研究所,江苏,南京,210094;南京理工大学,毫米波光波近感技术研究所,江苏,南京,210094 |
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| 摘 要： | 为提高毫米波雷达目标识别能力，提出一种基于Gabor原子变换和支持向量机(SVM)的雷达目标识别方法。该方法充分利用了Gabor原子变换在信号表示方面的有效性以及SVM在分类方面的优越性，首先将雷达回波信号进行Gabor原子变换，获得信号的特征量，然后利用SVM网络进行分类识别。实验结果表明：该方法可行且具有较高的识别率。
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| 关 键 词： | 雷达工程 Gabor原子 支持向量机 目标识别 |
| 文章编号： | 1000-1093（2007）07-0826-04 |
| 修稿时间： | 2006-07-07 |
Target Recognition Method of MMW Radar Based on Gabor Atom Transformation and Support Vector Machine |
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| YANG Guo,LI Xing-guo.Target Recognition Method of MMW Radar Based on Gabor Atom Transformation and Support Vector Machine[J].Acta Armamentarii,2007,28(7):826-829. |
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| Authors: | YANG Guo LI Xing-guo |
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| Affiliation: | Institute of Near Sensing Technique with Millimeter Wave & Optical Wave, Nanjing University of Science and
Technology, Nanjing 210094, Jiangsu, China |
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| Abstract: | In order to improve the ability of target recognition of millimeter wave radar, a method of target recognition based on Gabor atom transform and support vector macmne(SVM) was proposed. The Gabor atom transform’s validity in signal expression and the SVM’s advantage in signal classilica- tion are fully utilized m the method. The features of echo signals of raaar were extracted by Gabor atom transform and classified and recognized by SVM. The results of experiments show that the method is feasible and has higher recognition probability. |
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| Keywords: | radar engineering Gabor atom support vector machine target recognition |
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