隧道爆破振动信号时频谱交叉项干扰抑制方法  

Suppression method for cross term interference in time-frequency spectrum of tunnel blasting vibration signal

作　　者：付晓强 俞缙[2] 戴良玉 秦双双 FU Xiaoqiang;YU Jin;DAI Liangyu;QIN Shuangshuang(School of Civil Engineering,Sanming College,Sanming 365004,China;Fujian Research Center for Tunneling and Urban Underground Space Engineering,Huaqiao University,Xiamen 361021,China;Sanming Coffer Fine Chemical Industrial Co.,Ltd.,Sanming 365500,China)

机构地区：[1]三明学院建筑工程学院,福建三明365004 [2]华侨大学福建省隧道与城市地下空间工程技术研究中心,福建厦门361021 [3]三明科飞产气新材料股份有限公司,福建三明365500

出　　处：《振动与冲击》2021年第19期59-65,79,共8页Journal of Vibration and Shock

基　　金：三明学院国家基金培育计划(PYT2008);福建省自然科学基金(2020J01390);三明学院引进高层次人才科研启动经费(18YG13);国家自然科学基金面上项目(51874144);三明学院科学研究发展基金暨福建省中青年教师教育科研项目(JAT190724,B201937)。

摘　　要：针对爆破振动信号时频谱中普遍存在的交叉项干扰难题,采用匹配追踪(matching pursuit,MP)和平滑伪魏格纳分布(smooth pseudo Wigner-Ville distribution,SPWVD)组合算法对实测隧道爆破振动信号进行了时频谱交叉项抑制和特征提取。根据信号稀疏表示和MP理论,构造与信号特征匹配的过完备稀疏原子库。通过MP分解实现子信号的原子重构,对重构子信号分别求取SPWVD分布并叠加,从而获得爆破信号更为精确的时频表达。分析结果表明:匹配追踪-平滑伪魏格纳分布(MP-SPWVD)组合方法可精准弱化并抑制爆破振动信号中包含的交叉项干扰成分,改善了信号时频辨识度并提高了时频特征解析能力,验证了将其用于信号时频分析的精度和有效性。组合算法适用于爆破振动信号时频特征提取过程。Here,aiming at the difficulty problem of cross term interference existing in time-frequency spectrum of blasting vibration signal,the combination algorithm of matching pursuit(MP)and smooth pseudo-Wigner-Ville distribution(SPWVD)was adopted to suppress cross term in time-frequency spectrum and extract features of tunnel blasting vibration signal.According to the theory of signal sparse representation and matching pursuit,an overcomplete sparse atom library was constructed to match signal features.The atomic reconstruction of sub-signals was realized through matching pursuit decomposition,and the reconstructed sub-signals’SPWVD distributions were calculated and superposed to obtain a more accurate time-frequency representation of blasting signal.The results showed that MP-SPWVD combination method can be used to weaken and suppress cross term interference in time-frequency spectrum of blasting vibration signal,improve the signal time-frequency recognition degree and its time-frequency feature analysis ability,and verify the accuracy and effectiveness of MP-SPWVD combination method in signal time-frequency analysis;MP-SPWVD combined algorithm is suitable for the time-frequency feature extraction of blasting vibration signal.

关 键 词：爆破振动信号 时频分析 匹配追踪(MP)算法 平滑伪魏格纳分布(SPWVD) 交叉项抑制 

分 类 号：TD235[矿业工程—矿井建设]