周建宇,
许荣庆
哈尔滨工业大学电子与信息工程学院 哈尔滨 150001
基金项目:国家自然科学基金重点项目(61831010)，黑龙江省科学基金项目(JQ2019F001)
详细信息
作者简介:位寅生(1974–)，男，黑龙江人，哈尔滨工业大学电子与信息工程学院党委书记兼副院长，教授，博士生导师，主要从事杂波建模与抑制方法、抗干扰与抗杂波雷达信号体制、毫米波雷达探测技术研究
周建宇(1988–)，男，黑龙江人，哈尔滨工业大学博士，主要进行高频雷达抗干扰研究
许荣庆(1958–)，男，黑龙江人，哈尔滨工业大学电子工程技术研究所所长，教授，博士生导师，主要从事新体制雷达系统技术、雷达成像技术和现代信号处理技术研究
通讯作者:位寅生 hitweiysgroup@163.com
责任主编：陈建文 Corresponding Editor: CHEN Jianwen中图分类号:TN95
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出版历程
收稿日期:2020-06-27
修回日期:2020-08-06
网络出版日期:2020-08-26
Intelligent Suppression Method for Ionospheric Clutter Based on Clustering and Greedy Strategy
WEI Yinsheng,,ZHOU Jianyu,
XU Rongqing
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
Funds:The National Natural Science Foundation of China (61831010), Heilongjiang Provincial Natural Science Foundation of China (JQ2019F001)
More Information
Corresponding author:WEI Yinsheng, hitweiysgroup@163.com
摘要
摘要:在高频地波超视距雷达系统中，电离层杂波作为一种时变、非均匀、非高斯的复杂杂波，其抑制方法一直是困扰国内外的研究难点。针对传统杂波抑制方法对电离层杂波的处理能力单一、普适性差的问题，该文开展了杂波智能分类抑制处理方法的研究，通过对电离层杂波的成因与特性分析，提出了一种基于杂波聚类与贪婪策略的电离层杂波智能处理方法，对电离层杂波进行分类分情况处理。实验分析表明该方法对电离层杂波的抑制性能优于典型传统算法。
关键词:智能杂波处理/
高频地波超视距雷达/
杂波分类/
杂波抑制/
电离层杂波
Abstract:Clutter is a term used for unwanted echoes in electronic systems, particularly in reference to radars. Such echoes are typically returned from ground, sea, rain, animals/insects, chaff, and atmospheric turbulences, and can cause serious performance issues with radar systems. Ionospheric clutter is a time-varying, nonstationary, and non-Gaussian complex clutter in High-Frequency Surface-Wave Radar (HFSWR) system and its suppression is a daunting task. Extensive research on intelligent classification systems and suppression techniques of ionospheric clutter was conducted to solve the universal problem of single clutter suppression algorithm. After a complete analysis of the characteristics of ionospheric clutter, the present work proposes an intelligent ionospheric clutter processing method based on clustering and greedy algorithms for the classification and suppression of ionospheric clutter. Experimental results showed that the proposed method has a better performance than the traditional algorithm in suppressing ionospheric clutter.
Key words:Intelligent clutter processing/
High-Frequency Surface-Wave Radar (HFSWR)/
Clutter cluster/
Clutter suppression/
Ionospheric clutter
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