弹道目标雷达微动特征提取与识别研究综述

Review of Radar Micro-Miotion Feature Extraction and Recognition for Ballistic Targets

弹道目标雷达微动特征提取与识别是雷达目标识别领域的重要研究方向之一。在简要阐述弹道目标识别重要研究价值的基础上,结合国内外研究现状,从点散射模型、滑动散射模型、属性散射中心模型等出发,总结了现有的弹道目标微动回波建模方法,进一步分别从单基、双基、多基等不同雷达观测视角出发,梳理了弹道目标微动特征提取与成像方法,对基于人工特征和传统分类器、及基于深度学习的弹道目标分类识别方法进行了总结,最后对弹道目标雷达微动特征提取与识别方向的技术难点和未来发展趋势进行了分析与展望。

Micro-motion feature extraction and recognition of ballistic targets is one of the important research directions in the field of radar targets recognition.On the basis of a brief description of the important research value of ballistic target recognition,combined with the research status at home and abroad,this paper firstly summarizes the echoes modeling methods of ballistic targets from the point scattering model,sliding scattering model,attribute scattering center model,etc.,and then summarizes the micromotion feature extraction and imaging methods of ballistic targets from different radar observation perspectives such as monostatic radar,bistatic radar and multistatic radar.Thirdly,the classification and recognition methods of ballistic targets are summarized,which mainly based on artificial features and traditional classifiers or the deep learning.Finally,the technical difficulties and future development trends of this research directionare analyzed and forecasted.