一种改进模糊C均值聚类的电离层杂波分类方法

doi:10.19665/j.issn1001-2400.2021.02.005

Abstract

Abstract:

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.

Key words: high frequency surface wave radar, clutter classification, ionospheric clutter, fuzzy C-means, semi-supervised clustering

CLC Number:

TN95

ZHOU Jianyu,WEI Yinsheng,XU Rongqing. Improved ionospheric clutter classification method based on fuzzy C-means clustering[J].Journal of Xidian University, 2021, 48(2): 35-41.

Figures/Tables 6

References 22

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杂波类型	功率	方向性	空域同质性	距离域相关性	小波图像尺度
能量聚集型强方向性杂波	聚集	集中	同质	相关	与目标相异
点状杂波	聚集	分散	异质	非相关	与目标相似
空域同分布杂波	分散	分散	同质	非相关	与目标相异
距离域相关杂波	分散	分散	异质	相关	与目标相异
类目标杂波	分散	集中	异质	非相关	与目标相似

算法	分类准确率/%			DBI系数
算法	5%样本替换	7%样本替换	10%样本替换	5%样本替换	7%样本替换	10%样本替换
FCM	95.62	94.07	91.42	0.626 7	0.642 3	0.664 8
文中算法	99.64	99.39	99.08	0.644 8	0.647 2	0.691 2

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

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References 22

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