This article focuses on the problem of noise reduction and localization in infrasound detection.A steel experimental pipe was constructed,and lead breakage experiments and signal collection were conducted.The collected signals are processed by wavelet packet decomposition to extract and reconstruct the leaked signals,and the influence of the double weighted function cross-correlation algorithm on the localization accuracy is also studied.The results indicate that the leakage localization based on cross-correlation algorithm has a limit of 38 m,with a detection distance of 26 m for a single sensor.The localization limit of the double weighted cross-correlation algorithm using ROTH function and SCOT function has reached 57 m,with the detection distance of a single sensor is 45 m,which increased by 50％.The result shows that the double weighted cross-correlation algorithm is very useful for the leak point localization of buried pipe.
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