基于杂波聚类与贪婪策略的电离层杂波智能处理方法

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。 

Intelligent Suppression Method for Ionospheric Clutter Based on Clustering and Greedy Strategy

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.