Radar Emitter Signals Identification Based on Gray Relational Cluster Analysis
Si Dong Wu, Ming Qiao Zhu, Ke Chang Fu · Advanced materials research · 2012
To enhance accurate Deinterleaving and identification rate of radar emitter signals to meet the requirements of modern electronic warfare, a novel method for radar emitter signals identification recognition is presented in this work. Firstly, instantaneous frequencies of radar signals are analyzed. Then additional derived characteristics and the extraction algorithm is proposed, based on which the Gray relational cluster analysis method is used to cluster and identify the radar emitter signals. The proposed method is applied to simulated six kind of typical radar emitter signals with different SNR. Simulation results show that the proposed method can achieve high accurate recognition rate.