Radar Signal Sorting Based on Improved K-means Algorithm

摘要：

The clustering number of the K-means algorithm needs to be pre-set, which makes the traditional K-means algorithm cannot be used to sort the unknown radar signals and be sensitive of the wild values. Aiming at resolving these problems, the algorithm is improved by introducing the “clustering number dynamically setting and “fuzzy-data processing. The improved algorithm can determine the clustering number and clustering centers automatically. The ability for the unknown radar signals processing is largely improved. The simulations demonstrate the validity of the improved algorithm and shows that the improved algorithm has better ability for the wild value processing.

关键词： K-Means Sorting Wild value

作者: Yang Cheng-zhi LI Ping Sun Xin

作者单位: National Key Laboratory of Mechatronic Engineering and Control Beijing Institute of Technology Beiji National Key Laboratory of Mechatronic Engineering andControlBeijing Institute of TechnologyBeijing, Aviation University of Airforce Changchun, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 411-413

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）