摘要
雷达高分辨距离像自动目标识别是近年来雷达目标识别广受关注的一个研究领域.基于国内外HRRP自动目标识别方法的研究现状,指出目前研究工作中亟待解决的两个问题:非合作目标的识别与分类超平面的获取;针对待解决问题提出目前研究工作中的3个重点:信噪比失配问题的研究,少量不完备样本的研究以及分类超平面获取方法的研究;对每个研究重点的研究思路进行详细划分,包括移除噪声成分、特征提取以及支持向量等,并归纳每种思路的研究现状;最后,对3个重点的研究现状进行总结评述并指出未来的发展方向.
Radar high resolution range profile(HRRP)target automatic recognition is a hot research field in radar target recognition in recent years.Based on the research status of HRRP automatic recognition methods at home and abroad,firstly,two problems that need to be solved at present were pointed out:the recognition of non-cooperative targets and the acquisition of classified hyperplanes.Secondly,three focuses about the problems were proposed:research on SNR’s mismatch,research on a small number of incomplete samples and research on classification hyperplane acquisition methods.Then the research ideas of each research focus were divided detailedly,including removal of noise components,feature extraction,support vectors,etc.and the the research status of each idea was summarized.Finally,the research status of the three focuses was summarized and the future development direction of the three focuses was pointed out.
作者
韩磊
姚璐
HAN Lei;YAO Lu(School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China)
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2020年第4期351-361,381,共12页
Transactions of Beijing Institute of Technology
基金
国家部委基础科研资助项目(JCKY2017602C017)。
