A Novel Method for Radar Emitter Recognition in Low SNR Condition
XU Yong-gang · Electronic Information Warfare Technology · 2012
To correctly classify advanced radar emitter signals in the condition of low signal noise ratio,a novel method using high order cumulant and wavelet packet transform is proposed for feature extraction,then a Support Vector Machines classifier is designed,parameters of which are optimized using particle swarm optimization for better classification result,and identification of radar emitter signals is realized automatically.Experiments conducted on six typical emitter signals show that the proposed method works effectively as high as 93.83% recognition rate when SNR=-4dB,which proves classification results are better in low signal noise ratio.