Analysis of rock microseismic signal based on blind source wavelet decomposition algorithm

At present, microseismic technology is a widely used method for monitoring the rock burst phenomenon during construction of deep-buried tunnels. The fracture in tunnel will generate seismic waves. wave has strong randomness and low energy usually mixed with environmental noise, which called signal. signal received by geophone contain other noises. So, there an urgent need algorithm that can quickly decompose To solve this problem, paper proposes blind source wavelet to extract First, preprocessed, matrix established. Second, decomposition process signal, effective reconstructed. Finally, further remove noise enhance proposed compared empirical mode (EMD) through laboratory simulation data actual Baihetan Hydropower Station. It concluded effectively accuracy better than EMD method. certain practical significance identification signals early warning.