基于信号包络线相似性的特定场地地下爆炸识别方法研究

Discrimination algorithm for underground explosions in a fixed site based on the similarity of wave envelopes

基于信号包络线相似性,本文提出了特定场地地下爆炸的识别方法,并将其用于一个特定场地地震事件分析,以评估该方法对特定场地爆炸事件的识别效果.结果表明,在误警率约为6.3%的情况下,事件间距小于15km的爆炸事件漏检率约为0.5%,事件间距在15—30km范围内的爆炸事件漏检率约为5.0%.与波形互相关方法相比,本文方法大幅扩大了有效识别特定场地爆炸事件的空间范围.

This paper presented a discriminant algorithm based on the similarity of wave envelopes to discriminate seismic events in the same site.The events in a fixed site were analyzed to evaluate the discriminating performance for under-ground explosions.The result shows good performance.When the false alarm rate is about 6.3%,the misclassification rate for explosions with inter-distance smaller than 15 km is only 0.5%,and that for explosions with inter-distance of 15—30 km is about 5.0%.Comparison with the result from the algorithm based on waveform cross-correlation indicates that the method in this paper can discriminate explosions with much larger inter-distance.