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极化毫米波雷达目标识别方法的研究
引用本文:姜义成,王威,刘永坦,王金荣.极化毫米波雷达目标识别方法的研究[J].系统工程与电子技术,1997(7).
作者姓名:姜义成  王威  刘永坦  王金荣
作者单位:哈尔滨工业大学电子工程技术研究所!150001
摘    要:本文针对毫米波雷达距离像识别这一应用背景,提出了一种应用极化信息使距离像幅值趋于平稳,用神经学习来提取距离像角不变特征的模式识别新方法;其特点是通过极化处理减弱斑纹可增强对目标的确认,经神经学习获取的子类型特征与常规方法相比载有更多信息因而识别率高;实验结果证明了该方法的有效性.

关 键 词:毫米波雷达  目标识别  成像系统

Research on Polarimetric MMW Radar Target Recognition
Jiang Yicheng.Wang Wei,Liu Yongtan and Wang Jinrong Institute of Electronic Engineering Technique,Harbin Institue of Technology,Harbin.Research on Polarimetric MMW Radar Target Recognition[J].System Engineering and Electronics,1997(7).
Authors:Jiang YichengWang Wei  Liu Yongtan and Wang Jinrong Institute of Electronic Engineering Technique  Harbin Institue of Technology  Harbin
Institution:Jiang Yicheng.Wang Wei,Liu Yongtan and Wang Jinrong Institute of Electronic Engineering Technique,Harbin Institue of Technology,Harbin 150001
Abstract:In this paper,we propose a new pattern recognition approach using polarimetric information to make range profile amplitudes stable,and extract angle invariant features of range profiles using neural learning for the application of millimeter wave (MMW) radar range profile recognition. Its features are that the speckle-reduction by polarimetric processing may improve determination of the targets. By comparing with the conventional approach subclass features obtained by the neural learning,the new approach has carried more information and thus makes the rate of target recognition higher. The simulating resultes have approved the validity of the approach.
Keywords:Radar target recognition  Range profiles  Polarimetric processing  
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