基于HRRP的雷达目标识别研究综述

Review of radar target recognition based on HRRP

雷达目标识别(RTR)技术在国土防空和战略预警领域具有重要意义,目前相关研究大多基于高分辨距离像(HRRP)展开。梳理了当前研究主要聚焦于样本完备和小样本情况下目标识别的问题,研究方法主要聚焦于基于特征提取的识别方法、基于统计建模的识别方法以及基于深度学习的识别方法等3个方面。聚焦2大问题,从3个方面开展综述,进行归纳总结;指出在当前研究领域存在的5个亟待解决的问题,分析了下一步研究可以考虑的方向。

Radar Target Recognition(RTR)technology is of great significance in the fields of national air defense and strategic early warning,and most of the current research is based on High Resolution Range Profile(HRRP).It is sorted out that the current research mainly focuses on the problems of target recognition in the case of complete samples and small samples,and the research method mainly focuses on three aspects:the recognition methods based on feature extraction,statistical modeling,deep learning,etc.Focusing on the two major problems,the review is carried out from three aspects and summarized.It points out five urgent problems in the current research field,and analyzes the direction that can be considered in the next research.