Research Of Small Areas Of Shallow Underground Blasting Vibration Signal Blind Source Separation Algorithm

Small areas of shallow underground blasting vibration signal characteristic analysis isthe key of source location, picking up effective components from mix-signal is importantfoundation.Because of the complexity of the underground solid medium, single small areas ofshallow underground blasting vibration signal components varied and mixed by complexmode which to be separated differently. The paper pull blind source separation algorithm insignal processing to separate small areas of shallow underground blasting vibration signal.First separate random noise from multiple signal by VB algorithm,RBF algorithm andIN algorithm to verify feasibility and superiority of IN algorithm according to resultsseparated of signal-to-noise ratio and similarity coefficient;separate random noise from singlesignal by EEMD combined with IN algorithm to verify feasibility and superiority of thisway.Second separate coherent component from multiple signal by expansion jointdiagonalization algorithm,kurtosis algorithm and time delay algorithm to verify feasibilityand superiority of time delay algorithm according to results of separating;separate coherentcomponent from single signal by Radon transforming combined with time delay algorithm toverify feasibility and superiority of this way.Deal with small areas of shallow underground blasting vibration signal measured by theabove method to get P-wave and then analysis the signal.The results show that the speed andfrequency features are eligible for theoretical value which verify the method above toseparate P-S wave effectively.Accuracy of source location though P-wave achieved can reachto0.5148m.