<p>A multistage filtering strategy was proposed to target the periodic noise present in the cavity sonar signal of salt cavern gas storage. First, the relevant signal’s frequency band range is selected, and the parameters of the signal’s time-frequency domain are collected using the Short-Time Fourier Transform (STFT). Second, the adaptive Wiener filter is adjusted with windows of variable lengths, completing the first stage of filtering. Lastly, the second stage involves utilizing the wavelet transform to enhance the capacity for filtering periodic noise. The Signal-to-Noise Ratio (SNR) and correlation coefficient are thoroughly estimated to assess the sonar signal after the second stage of filtering, and the Minimum Mean Squared Error (MMSE) is employed to evaluate the impact of the first filtering stage, confirming the effectiveness of the proposed filtering technique. According to various experiments, the method presented in this work effectively suppresses multiple types of noise, improves the accuracy of echo extraction, and enhances the SNR by approximately 10 dB, all while preserving the characteristics of the original signal.</p>