首页> 外文会议>Conference on Object Detection, Classification, and Tracking Technologies Oct 22-24, 2001, Wuhan, China >A New Target Recognition Method Based on High Range Resolution Polarimetric Radar
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A New Target Recognition Method Based on High Range Resolution Polarimetric Radar

机译:基于高分辨力极化雷达的目标识别新方法

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摘要

For HRR profile identification application, it is of importance to use as few as possible of matched-filters under the restriction of given probability of error and rejection. In this paper, a new method of target recognition called range-polarization multi-dimensional correlation matching classification is presented, which combining the polarization information with high resolution range information to adapt arbitrary pose angle of target, the optimal expressions are designed according to the demand of error and reject probabilities. The proposed method was performed in three steps: First, the theory of range-polarization multi-dimensional correlation matching was introduced, then, multi-dimensional correlation matching expressions were trained, finally, some experimental results were given. The results of experiments demonstrated that this method has advantages of small operation amount and less matched filters.
机译:对于HRR轮廓识别应用,在给定的错误和拒绝概率限制下,使用尽可能少的匹配滤波器非常重要。本文提出了一种新的目标识别方法,称为距离极化多维相关匹配分类,将极化信息与高分辨率距离信息相结合,以适应目标的任意姿态角,根据需要设计了最优的表达式。错误和拒绝概率。该方法分三步进行:首先介绍了距离极化多维相关匹配理论,然后训练了多维相关匹配表达式,最后给出了一些实验结果。实验结果表明,该方法具有运算量小,滤波器匹配少的优点。

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