›› 2013, Vol. 26 ›› Issue (11): 55-.

• Articles • Previous Articles     Next Articles

Radar Signal Pre-sorting Based on K-Means Algorithm

NIE Xiaowei   

  1. (Key Laboratory of Electronic Information Countermeasure and Simulation Technology,Ministry of Education,Xidian University,Xi'an 710071,China)
  • Online:2013-11-15 Published:2013-11-19


K-Means algorithm finds wide applications in radar signal pre-sorting.The traditional K-Means algorithm depends largely on the number of clusters and the initial setting of cluster centers.It is also very sensitive to noise and outliners.In order to solve these problems,a radar signal pre-sorting method which combines the distance method with the improved K-Means algorithm is presented in this paper.Simulation shows that the proposed method effectively reduces the influence of noise and outliners on K-Means clustering algorithm.

Key words: radar signal pre sorting;K Means;clustering;outliers

CLC Number: 

  • TN957.52