Journal of Xidian University ›› 2021, Vol. 48 ›› Issue (2): 35-41.doi: 10.19665/j.issn1001-2400.2021.02.005

• Special Issue: Advances in Radar Technology • Previous Articles     Next Articles

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

ZHOU Jianyu(),WEI Yinsheng(),XU Rongqing()   

  1. School of Electronics and Information Engineering,Harbin Institute of Technology,Harbin 150001,China
  • Received:2020-10-23 Online:2021-04-20 Published:2021-04-28


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