改进的波形复杂度算法在核爆炸监测中的应用

Application of improved algorithms of P-wave complexity in nuclear explosion monitoring

验证了传统的波形复杂度对于核爆地震信号分类的有效性。提出了两种时域改进算法,使识别率有了小幅度的提高。将传统的时域波形复杂度推广到时频联合域,提出了一种基于短时傅里叶变换的波形复杂度计算框架。在对所提算法框架进行简化处理后,借助于Fisher线性判别分析方法实现了地震波信号的特征提取。分类实验结果表明所提方法的分类性能优于现有的波形复杂度的分类性能。

The effectiveness of the traditional P-wave complexity in the discrimination between nuclear explosions and earthquakes was validated.Two improved algorithms of P-wave complexity in time domain were proposed and the recognition accuracy raised a little.The traditional computation of wave complexity was extended to time-frequency domain and a framework for computation of wave complexity based on short time Fourier transformation was given.After simplifing the framework,seismic wave features were extracted based on Fisher method.Classification test results showed that the proposed algorithms are better than the other existing algorithms.