SVC & K-Means and Type-Entropy Based De-Interleaving/Recognition System of Radar Pulses
Qiang Guo, Xingzhou Zhang, Zheng Li · 2006
First, the paper shows a novel de-interleaving method based on support vector clustering (SVC) and K-means clustering. Secondly, it presents a notion of type-entropy and the recognition technology based on type-entropy is introduced into de-interleaving system so that a novel joint de-interleaving/recognition system of radar pulse sequence is to be presented. The simulation experiment result shows that the system can sort efficiently radar signals in the high density and complex pulses environment