Distortion phenomenon would occur in time-frequency analysis when Hilbert-Huang Transform(HHT) is used to process the blasting seismic signal mixed with noise.In order to improve the analysis performance for noisy blasting seismic signals,the factors affecting the accuracy of time-frequency analysis of HHT were improved through an improved algorithm.Firstly,the empirical mode decomposition(EMD) was improved by the complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN) to suppress the low-frequency trend terms.Furthermore,the multiscale permutation entropy(MPE) code was added to control the high-frequency noise.Finally,the normalized Hilbert transform(NHT) was performed on the IMFs obtained by CEEMDAN·MPE.Through the above three steps,the problem of insufficient precision in the time-frequency analysis of noisy blasting seismic signals by the traditional HHT can be improved.In order to verify the accuracy of the CEEMDAN·MPE-NHT algorithm,a comparative study on the HHT and CEEMDAN·MPE-NHT algorithm was carried out,and the CEEMDAN·MPE-NHT algorithm was used for underwater drilling blasting seismic signals.The results show that the time-frequency spectrum of the IMF decomposed by CEEMDAN·MPE and processed by NHT has a greatly improved high resolution compared with HHT in both time and frequency domain.The research results can be used for identifying and controlling the hazards of blasting seismic waves.