| 一种新的雷达目标HRRP识别方法 |
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| 引用本文： | 邓有为,王晟达,刘传武.一种新的雷达目标HRRP识别方法[J].雷达科学与技术,2008,6(3):171-173. |
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| 作者姓名： | 邓有为 王晟达 刘传武 |
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| 作者单位： | 空军工程大学工程学院航空电子工程系,陕西西安,710038 |
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| 摘 要： | 针对雷达目标回波的非平稳特性，推导了S变换及其快速实现算法，利用电磁场时域有限差分算法仿真了3种军用飞机的宽带散射信号，采用S变换对飞机目标的雷达回波进行时频分析，提取时频分布图的矩特征作为目标特征矢量，利用改进径向基函数神经网络对特征矢量进行训练和学习，最后对3种飞机作了分类识别，取得了很好的识别效果。
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| 关 键 词： | 雷达目标识别 时域有限差分 S变换 矩特征 RBF神经网络 |
A New Approach to Radar Target Recognition Based on HRRP |
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| DENG You-wei,WANG Sheng-da,LIU Chuan-wu.A New Approach to Radar Target Recognition Based on HRRP[J].Radar Science and Technology,2008,6(3):171-173. |
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| Authors: | DENG You-wei WANG Sheng-da LIU Chuan-wu |
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| Affiliation: | (Avionic Engineering Department, Engineering College of Air Force Engineering University, Xi＇an 710038, China) |
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| Abstract: | Radar wideband scattering echoes of three kinds of fighters are obtained by using the method of finite difference time domain（FDTD）. The principle and algorithm procedure of S transform are educed. We introduce a new approach of feature extraction based on moments of the S transform time-frequency matrix of the echoes. The RBFNN is employed as the classifier, and the experimental results show that the new method is available and effective. |
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| Keywords: | radar target recognition finite difference time domain S transform moment RBF neural network |
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