In order to adapt to the complex dynamic changing wake bubble field environment, improve the detection signal-to-noise ratio and detection rate of the weak ship wake signals, and expand the detection range, a method of detecting weak ship wake signals based on the synchronous accumulation method is proposed. By taking advantage of the repeatability of periodic signals and the randomness of noise, cumulative normalization is performed on successive periodic signals, effectively improving the detection signal-to-noise ratio and reducing the interference of random noise on detection performance. In order to evaluate the detection performance of the algorithm under multi-parameter coupling, a multi-time scale detection capability evaluation model for weak ship wake signals is established. By conducting many simulated ship wake detection experiments in large indoor pools and typical outdoor lakes, it is verified that the algorithm is suitable for the detection of various bubbles from smaller ones in sparse and discrete tiny far-field wakes to larger near-field ones under high turbulence disturbance, thus realizing full-time ship wake tracking and detection. This can effectively improve underwater weapon strike capability. It can support ship wake laser detection and identification engineering practice.