FastICA算法在低信噪比爆破振动信号信噪分离中的应用研究

路亮;龙源;钟明寿;谢全民;李兴华

振动与冲击 ›› 2012, Vol. 31 ›› Issue (17) : 33-37.

PDF(1952 KB)
PDF(1952 KB)
振动与冲击 ›› 2012, Vol. 31 ›› Issue (17) : 33-37.
论文

FastICA算法在低信噪比爆破振动信号信噪分离中的应用研究

  • 路亮,龙源,钟明寿,谢全民,李兴华
作者信息 +

APPLICATION RESEARCH OF SEPARATING NOISE FROM BLASTING VIBRATION SIGNAL BASED ON FASTICA

  • LU Liang, LONG Yuan, ZHONG Ming-shou, XIE Quan-min, LI Xing-hua
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摘要


传统信噪分离方法对低信噪比爆破振动信号的细节提取能力变弱或近乎失效,因此,本文提出应用快速独立分量分析(FastICA)方法对信号中的独立分量进行非高斯性度量以完成含噪信号的信噪分离。结合数值仿真算例及实测信号分离试验,验证了FastICA用于爆破振动信号信噪分离的有效性,结果表明,FastICA可以准确地从信噪较低的含噪信号中,分离出贴合源信号的逼近信号,从而为将FastICA引入到爆破振动信号分析领域,实现爆破振动特征的快速提取提供了借鉴。

Abstract

For traditional separating methods have little detail extraction ability for blasting vibration signal with low SNR, FastICA was applied to measure non-Gaussian of independent component in blasting vibration signal, and approximation signal was separated. Efficiency of FastICA was validated combining with numerical simulation and separation study of measurement signal. Experimental results show that, from blasting vibration signal with low SNR, asing fast ICA. approximation signal closed to source signal can be separated by FastICA precisely, and it provided references to introduce of FastICA and rapid detail extraction of blasting vibration signal.

关键词

低信噪比 / 爆破振动 / 独立分量分析 / 信噪分离 / 分离性能

Key words

low SNR / blasting vibration / independent component analysis(ICA) / separating noise form signal / separation performance

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路亮;龙源;钟明寿;谢全民;李兴华. FastICA算法在低信噪比爆破振动信号信噪分离中的应用研究[J]. 振动与冲击, 2012, 31(17): 33-37
LU Liang;LONG Yuan;ZHONG Ming-shou;XIE Quan-min;LI Xing-hua . APPLICATION RESEARCH OF SEPARATING NOISE FROM BLASTING VIBRATION SIGNAL BASED ON FASTICA[J]. Journal of Vibration and Shock, 2012, 31(17): 33-37

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