Discrimination of nuclear explosion and lightning electromagnetic pulse using time-frequency image analysis

In this paper, the Hilbert spectrum is used to analyze the nuclear explosion and lightning electromagnetic pulse for NEMP and LEMP signals based on their non-stationary and non-linear characters. The region features of Hilbert spectrum of NEMP and LEMP signals are calculated to discriminate them, and the discrimination result is analyzed based on different mechanisms of the nuclear explosion and lightning. The experiment results indicate that, using the nearest neighbor pattern classification method, the average discrimination rate of NEMP and LEMP signals is over 90% based on area, the center of gravity and six dimension image region features of Hilbert spectrum. Finally, we get a conclusion that the image region features of the Hilbert spectrum are effective features to discriminate NEMP and LEMP.