海杂波特性认知研究进展与展望

丁昊; 董云龙; 刘宁波; 王国庆; 关键

doi:10.12000/JR16069

海杂波特性认知研究进展与展望

doi: 10.12000/JR16069

(海军航空工程学院电子信息工程系烟台 264001)

基金项目:

国家自然科学基金（61179017，61201445，61401495）

详细信息

作者简介:
丁昊(1988-),男,博士研究生,主要研究方向为海杂波特性认知、雷达目标检测等。E-mail:hao3431@tom.com;关键(1968-),男,教授,博士生导师,获全国优秀博士学位论文奖,新世纪百千万人才工程国家级人选。主要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。E-mail:guanjian96@tsinghua.org.cn

通讯作者:
丁昊hao3431@tom.com;关键guanjian96@tsinghua.org.cn

丁昊hao3431@tom.com;关键guanjian96@tsinghua.org.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2016-04-21
- 修回日期: 2016-10-09
- 网络出版日期: 2016-10-28

Overview and Prospects of Research on Sea Clutter Property Cognition

Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China

Funds:

The National Natural Science Foundation of China (61179017, 61201445, 61401495)

摘要

摘要: 海杂波是影响海用雷达目标探测性能的主要制约因素之一，其物理机理复杂，影响因素众多，且非高斯、非平稳特性显著，因此海杂波特性认知研究是一项极其复杂的系统工程。该文从数据层海杂波特性认知出发，围绕目标检测算法所关注的海杂波幅度分布特性、谱特性、相关性及非平稳与非线性特性，回顾和总结了海杂波特性认知研究进展，梳理了主要研究结论。在此基础上，从海杂波影响因素的深化分析、海杂波精细化建模与检测器需求的博弈、海杂波与目标差异特性认知等4个方面展望了有待于进一步探索的问题。
- 海杂波 /
- 特性认知 /
- 非高斯 /
- 非平稳 /
- 精细化建模 /
- 目标检测
Abstract: Sea clutter is one of the main limiting factors influencing the target detection performance of nautical radars. The physical mechanism of sea clutter is complex with an abundance of influencing factors, and the non-Gaussian as well as non-stationarity behavior is significant. Thus, research into sea clutter property cognition is complicated and has to be systematic. Based on research that concentrates on experimental data, this paper reviews and summarizes the research developments in sea clutter property cognition. It concentrates on the properties that are of most interest for target detection algorithms:amplitude distribution, spectra, correlation, and non-stationarity and nonlinearity. The main research results are also concluded. Based on this, four aspects of problems that need further exploration are highlighted and include the following:further analysis of sea clutter influencing factors; the game problem between sea clutter precision modeling and the requirements of detection algorithms; and the property cognition between radar target and sea clutter.
- Sea clutter /
- Property cognition /
- Non-Gaussian /
- Non-stationarity /
- Precision modeling /
- Target detection

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