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The leak detection of the gas pipeline is important to ensure the normal operation of the pipeline, but in actual work, the signal detected by the sensor will be disturbed by noise. In order to improve the detection accuracy of pipeline leakage, a lifting wavelet transform method which does not depend on Fourier transform is adopted, and the improved threshold function is introduced to denoise the signal, and different wavelet basis functions are compared. The different decomposition scales are improved by using the improved threshold algorithm. The noise reduction effect is confirmed as the optimal lifting wavelet function of the db5 wavelet function, and the signal processing ratio of the four-layer decomposition of the signal is the highest. Finally, the traditional wavelet denoising and lifting wavelet improvement are performed by using the negative pressure wave signal collected by the field experiment. The comparison of the effect of threshold algorithm denoising shows that the denoising effect of the improved wavelet improved threshold algorithm is better than that of the traditional wavelet algorithm, and it has good application value in signal noise reduction of pipeline leakage detection.