As the exploration and development process enters middle and later periods, the micro-seismic monitoring and positioning technology become more important in order to improve the oil-gas recovery efficiency. Multiple seismic source positioning algorithms are available, wherein an equation is established on the basis of the two parameters including the initial time and the propagation speed according to most of the algorithms for further solving the positioning purposes. The above two parameters are difficult to obtain accurately in actual seismic data, so that the positioning precision can be influenced. For the above problem, Miao Huaxiang and other people provide a micro-seismic full-waveform positioning method based on inclined superposition and scanning ideas, so that the above problemis effectively avoided. However, the micro-seismic full-wave automatic positioning method has the problems of insufficient noise resistance and the like. Aiming at the problem, the invention providesthe similarity coefficient-based micro-seismic full-wave automatic positioning method. According to the method, firstly, a sine time window is used for weighting and processing all the data. Secondly,the original similarity coefficient algorithm is optimized, and the division operation is changed into the subtraction operation. Therefore, the operation efficiency is accelerated, and the normalization processing function judgment position is realized. Compared with an original method, the method has the advantages that the noise resistance and the outstanding extreme value are obviously improved, and the calculation amount is obviously reduced.