A new feature extraction method for radar pulse sequences
Qiang Guo, Xingzhou Zhang · Ha'erbin gongye daxue xuebao · 2006
Modern electronic warfare faces complex and dense pulses environments,which brings a severe challenge to radar signal sorting.In this paper,a new feature extraction method for radar pulse sequences is presented based on structure function and empirical mode.The 2-dimension feature information consists of radio frequency and time-of-arrival in this method,which analyzes the feature of radar pulse sequences for the very first time by employing structure function and empirical mode decomposition.The experiment result shows that the method can efficiently extract the frequency of the period-change radio frequency signal in the complex pulses environment and reveals a new feature for the signal sorting of interleaved radar pulse sequences.This paper provides a new way for extracting the new sorting feature of radar signals.