Clustering of DOA data in radar pulse based on SOFM and CDbw

Abstract

Clustering is the main method of deinterleaving of radar pulse using multi-parameter. However, the problem in clustering of radar pulses lies in finding the right number of clusters. To solve this problem, a method is proposed based on Self-Organizing Feature Maps (SOFM) and Composed Density between and within clusters (CDbw). This method firstly extracts the feature of Direction Of Arrival (DOA) data by SOFM using the characteristic of DOA parameter, and then cluster of SOFM. Through computing the cluster validity index CDbw, the right number of clusters is found. The results of simulation show that the method is effective in sorting the data of DOA.