雷达目标微动表征、估计与识别研究

Research on representation,estimation and recognition for radar targets with micro-motion

目标微动对雷达回波产生的调制特征蕴含了目标精细结构及运动信息,从雷达回波中挖掘提取目标特有的微动信息并实现目标识别是雷达领域的重要方向.本文在结合雷达回波调制规律的基础上,从雷达目标微动表征、估计与识别三方面进行综述;针对现有微动目标表征精度有限、参数估计鲁棒性差、识别特征信息单一问题,重点阐述了稀疏时间–频率–调频率表征、新型变换域估计统计量、基于网络的特征融合识别等具有代表性的新兴微动信息提取方法;最后对雷达目标微动特性研究进行了总结与展望.

The modulation signatures of radar echoes induced by micromotions contain detailed information on the structures and motions of radar targets.It is an important direction in the field of radars to mine and extract specific micro-motion information about the target from radar echoes and achieve target recognition.Based on the modulation law of radar echoes,the research progress of the representation,estimation,and recognition of radar targets with micro-motion is reviewed in this work.Furthermore,promising approaches for extracting micro-motion information,including sparse time–frequency–frequency rate representation,novel estimation statistics in the transform domain,and network-based feature fusion recognition methods,are presented to solve the issues of the current strategies,such as limited accuracy of the representation,poor robustness of parameter estimation,and mono-modality features for target recognition.Lastly,a summary of ongoing research on target micro-motion is presented,and future directions are discussed.