Radar Signal Sorting Based on Ant Colony and K-Means Clustering
Bin Chen · Radar Science and Technology · 2009
As advanced radars increase rapidly in modern warfare,electromagnetic environment becomes more and more complicated,and radar signal sorting faces new challenge.Signal sorting methods adopted at present based on statistic histogram don't adapt modern radar signal environment more and more.In this paper,clustering analysis is introduced into radar signal sorting.Ant colony algorithm and K-Means are combined.A new radar signal sorting method is presented.This method is easy to realize by programming and does not need priori knowledge of the radar signal.It is suitable for dealing with the unknown radar signal.The simulation shows that the method has good sorting result,providing a new way for radar signal sorting.