Abstract: This paper presents an automatic detection method for microseismic signals based on wavelet cross-correlation technique. In this method, the complex Morlet wavelet is used to transform the seismic waveform at a specific scale, the angle correlation is analyzed, and the reasonable similarity threshold is set to automatically detect small earthquakes. By testing the 30 minutes waveform after the ML4.8 earthquake in Changji, Xinjiang on May 1, 2018, it is found that 11 seismic sequences are detected by this method, and the P-wave arrival results of the detecting station are given. By comparing with the unified cataloguing results of the earthquake in the center of the China Seismic Network, there is no missed detection, and the difference of the seismic wave arrival time of the false check is basically within 1 second. It is considered that this method is feasible for seismic sequence microseismic detection.