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

Qi Shufeng; Li Xihai; Han Shaoqing; Chen Jiao; Liu Daizhi

Volume 25 Issue 02

Dec. 2012

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Article Navigation > High Power Laser and Particle Beams > 2013 > 25(02): 522-526

cao bai ling, wu cheng jiu, rao rui zhong, et al. Atmospheric attenuation of the HF and DF laser radiation[J]. High Power Laser and Particle Beams, 2003, 15.

Citation:

Qi Shufeng, Li Xihai, Han Shaoqing, et al. Discrimination of nuclear explosion and lightning electromagnetic pulse using time-frequency image analysis[J]. High Power Laser and Particle Beams, 2013, 25: 522-526.

cao bai ling, wu cheng jiu, rao rui zhong, et al. Atmospheric attenuation of the HF and DF laser radiation[J]. High Power Laser and Particle Beams, 2003, 15.

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

1.
Second Artillery Engineering Institute,Xi’an 710025,China

Received Date: 2012-05-11
Rev Recd Date: 2012-09-06
Publish Date: 2013-02-10

Abstract

Abstract

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.
- nuclear electromagnetic pulse,
- lightning electromagnetic pulse,
- discrimination,
- time-frequency image analyse

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