| 基于目标散射中心和HMM分类的多视角 雷达目标识别方法 |
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| 引用本文： | 裴炳南,保铮. 基于目标散射中心和HMM分类的多视角 雷达目标识别方法[J]. 电子学报, 2003, 31(5): 786-789 |
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| 作者姓名： | 裴炳南 保铮 |
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| 作者单位： | 1. 西安电子科技大学雷达信号处理国家重点实验室,陕西西安 710071;2. 郑州大学电子工程系,河南郑州 450052 |
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| 基金项目： | “十五”国防预研基金 (No .41 30 70 50 1 0 3)，国防重点实验室基金 (No .0 0JS2 4 .3 .2 ) |
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| 摘 要： | 根据高分辨雷达目标的简单散射点模型,提出用Relax算法从雷达回波提取目标强散射点分布的位置信息作为目标识别的物理特征,用隐马尔可夫模型表征多视角雷达回波序列,实现飞机类目标识别的方法.实测数据的计算机仿真表明,对训练数据段,仿真可以指示飞机的姿态,方位识别平均正确率为96.77%,类平均正确识别率为99.80%;当测试数据取自没有训练过飞行数据段时,两种情况的类平均正确识别率分别为81.25%和89.87%.
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| 关 键 词： | 雷达目标识别 隐马尔可夫模型 Relax方法 高分辨距离像 散射点模型 K-平均算法 |
| 文章编号： | 0372-2112(2003)05-0786-04 |
| 收稿时间： | 2002-01-16 |
Multi-aspect Radar Target Recognition Method Based on Scattering Centers and HMMs Classifiers |
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| PEI Bing nan ,,BAO Zheng. Multi-aspect Radar Target Recognition Method Based on Scattering Centers and HMMs Classifiers[J]. Acta Electronica Sinica, 2003, 31(5): 786-789 |
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| Authors: | PEI Bing nan BAO Zheng |
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| Affiliation: | 1. Key Lab of Radar Signal Processing,Xidian University,Xi'an,Shaanxi 710071,China;2. Dept of Electronics Engineering,Zhengzhou University,Zhengzhou,Henan 450052,China |
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| Abstract: | A method for airplane like targets recognition is suggested,by using the position information of prominent point scattering,taken from the high resolution radar echoes by means of Relax algorithm,as the physic feature for recognition,which is based on the simplified model of points scattering under high resolution radar condition.Computer simulations with radar data show that for the trained data segments that aircraft can be indicated at averaged rate of 96.77% to aspect recognition and of 99.80% to class recognition,respectively.For untrained data segments the averaged class recognition rate reaches 81.25% and 89.87%,respectively under two given conditions. |
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| Keywords: | radar target recognition HMM model Relax algorithm HRR profiles points scattering model K means algorithm |
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