一种改进模糊C均值聚类的电离层杂波分类方法  

Improved ionospheric clutter classification method based on fuzzy C-means clustering

作　　者：周建宇 位寅生[1] 许荣庆[1] ZHOU Jianyu;WEI Yinsheng;XU Rongqing(School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]哈尔滨工业大学电子与信息工程学院,黑龙江哈尔滨150001

出　　处：《西安电子科技大学学报》2021年第2期35-41,共7页Journal of Xidian University

基　　金：国家自然科学基金(61831010);黑龙江省科学基金(JQ2019F001)。

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,其复杂性导致了单一杂波抑制算法无法有效地抑制电离层杂波。针对不同特性,将复杂的电离层杂波进行分类,可以有效地提升电离层杂波抑制性能。常规的杂波聚类方法由于仅在特征空间进行聚类,分类结果存在空间分布离散化的问题。针对该问题,结合电离层杂波特性与其邻域空间信息,提出了一种基于改进的模糊C均值距离的电离层杂波分类方法,利用仿真数据与高频地波雷达实测数据进行分析。该方法在不降低聚类性能的情况下,具有更符合实际物理意义的聚类结果,并具有更高的分类精度。The ionospheric clutter is a time-varying,non-stationary and non-Gaussian complex clutter in the high-frequency surface-wave radar(HFSWR)system and its suppression is a daunting task.Due to the complexity of the ionospheric clutter,the single clutter suppression algorithm cannot suppress the clutter effectively.Classification of the complex ionospheric clutter according to different characteristics can improve the performance of ionospheric clutter suppression significantly.After a complete analysis of the characteristics of ionospheric clutter,this paper proposes an improved ionospheric clutter classification method based on fuzzy C-means clustering.Experimental results show that the proposed method has a better performance than the traditional algorithm in clustering the ionospheric clutter.

关 键 词：高频地波超视距雷达 杂波分类 电离层杂波 模糊C均值算法 半监督聚类 

分 类 号：TN95[电子电信—信号与信息处理]