首页|基于HRRP的雷达目标识别研究综述

基于HRRP的雷达目标识别研究综述

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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.
Review of radar target recognition based on HRRP
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.

HRRPRTRfeature extractionstatistical modelingdeep learning

尹建国、盛文、江河

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空军预警学院,武汉 430019

中国人民解放军95866 部队,河北 保定 071051

中国人民解放军93110 部队,北京 100843

高分辨距离像 雷达目标识别 特征提取 统计建模 深度学习

空军军内科研重点项目全军研究生重点资助课题

KJ20211A010045JYKT910262021004

2024

兵器装备工程学报
重庆市(四川省)兵工学会 重庆理工大学

兵器装备工程学报

CSTPCD北大核心
影响因子:0.478
ISSN:2096-2304
年,卷(期):2024.45(4)
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