A New Approach of Target Identification Using Enhanced Radar Range Profiles

Caiyun Wang, Xiaojian Xu, S. Mao
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引用次数: 2

Abstract

Due to the aspect dependence of high resolution range profiles (HRRPs), traditional radar HRRPs target identification (ID) methods usually use averaged or weighted HRRPs as an aspect template. A major shortcoming is that HRRPs cannot provide information about target's cross-range. In this study, we present an application of statistics method on complex radar targets. The enhanced HRRPs extracted by this method were used in radar target identification. It is shown from simulation results that identification performance can be improved greatly by using the enhanced HRRPs features combined with a two-stage fuzzy classifier.
一种基于增强雷达距离像的目标识别新方法
由于高分辨率距离像(hrrp)的面向依赖性,传统的雷达hrrp目标识别(ID)方法通常使用平均或加权hrrp作为面向模板。hrrp的一个主要缺点是不能提供目标的跨距离信息。在本研究中,我们提出了统计方法在复杂雷达目标上的应用。将该方法提取的增强hrrp用于雷达目标识别。仿真结果表明,将增强的hrrp特征与两阶段模糊分类器相结合,可以大大提高识别性能。
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