刘宁波¹,
姜星宇^1,,,
丁昊^{1, 2},
关键¹
1.海军航空大学信息融合研究所 烟台 264001
2.军事科学院国防科技创新研究院 北京 100071
基金项目:国家自然科学基金(61871392, 61531020, 61871391)

详细信息

作者简介:刘宁波：男，1983年生，博士，讲师，研究方向为雷达信号处理、海杂波抑制与目标智能检测
姜星宇：男，1997年生，硕士生，研究方向为海杂波特性认知，雷达目标检测等
丁昊：男，1988年生，博士，讲师，研究方向为海杂波特性认知，雷达目标检测等
关键：男，1968年生，教授，博士生导师。研究方向为雷达目标检测与跟踪、侦察图像处理和信息融合

通讯作者:姜星宇　525067778@qq.com

中图分类号:TN959

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被引次数:0

出版历程

收稿日期:2020-06-08
修回日期:2021-07-12
网络出版日期:2021-08-26
刊出日期:2021-10-18

Summary of Research on Characteristics of Radar Sea Clutter and Target Detection at High Grazing Angles

Ningbo LIU¹,
Xingyu JIANG^1,,,
Hao DING^{1, 2},
Jian GUAN¹
1. Information fusion Institute, Naval Aviation University, Yantai 264001, China
2. National Innovation Institute of Defense Technology, Chinese Academy of Military Science, Beijing 100071, China
Funds:The National Natural Science Foundation of China (61871392, 61531020, 61871391)


摘要
摘要:海杂波作为影响海用雷达目标探测性能的主要制约因素之一，其在小擦地角下的物理机理和特性被广泛研究。由于产生机理上与小擦地角的差异，大擦地角下海杂波特性认知研究难以直接采用现有的多样化小擦地角海杂波模型与特性结论，大擦地角海杂波特性规律及目标检测技术研究依旧是一项极其复杂的系统工程。该文从雷达大擦地角对海探测试验数据集出发，围绕大擦地角海杂波建模、海杂波特性影响因素和海杂波中目标检测技术3个方面，回顾总结了大擦地角下海杂波特性认知与抑制的研究进展，梳理了大擦地角海杂波机理与特性研究的主要结论，并对技术发展方向进行了展望。
关键词:目标检测/
海杂波/
大擦地角
Abstract:Sea clutter is one of the main limiting factors influencing the target detection performance of nautical radars, and its physical mechanism at low grazing angles has been widely studied. Due to the difference in the generation mechanism, it is difficult to adopt directly the existing diversified low clutter angle sea clutter model and characteristic conclusions in the cognitive study of the sea clutter characteristics under large grazing angle.The study of sea clutter characteristics under large grazing angles is still extremely complicated and has to be systematic. Based on the commonly used data, this paper reviews and summarizes the research developments in sea clutter at large grazing angles. It concentrates on the properties that are of most interest for target detection at large grazing angles: the characteristics, modeling methods and detection technology algorithms. The main research results are concluded and the development direction of the technology is prospected.
Key words:Target detection/
Sea clutter/
High grazing angles



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