24–28 Jun 2019
Europe/Vienna timezone

Disturbing Incidents Signal Character Analysis in Nuclear Explosion Infrasound Detection

Not scheduled
Poster Theme 3. Verification Technologies and Technique Application

Speaker

Xinliang Pang (State Key Laboratory, NBC Protection for Civilian)

Description

This paper analyzes the characteristics of disturbing incident in the infrasound detection of nuclear explosion. After data preprocessing, such as mean removal, atmospheric disturbance removal, filtering and normalization, etc., the infrasound signal characteristics of lightning, chemical explosion and satellite launch events are analyzed through spectrum and statistical methods. Finally, spectrum characteristics of disturbing incident infrasound signal are obtained according to statistical conclusions. The analysis results show that the acquired infrasound signal characteristics of lightning, chemical explosion and satellite launch event are different from those of nuclear explosion, and this characteristic value can be used as one of the feature vectors of nuclear explosion infrasound detection and recognition.

Primary author

Xinliang Pang (State Key Laboratory, NBC Protection for Civilian)

Presentation materials