Abstract: In this paper, a recognition method integrating the time-frequency domain features of ship radiated noise is proposed. By taking the line spectrum features and linear prediction cepstrum features of ship radiated noise as inputs, the back propagation (BP) neural network is used for training, dimension reduction and preliminary discrimination. The weighted voting method is adopted, and the confidence algorithm and rejection mechanism are introduced to realize decision-level fusion recognition. The experimental results show that compared with the ship single feature based recognition method, the fusion recognition is carried out by using the complementarity of the time-frequency domain features of the ship radiated noise, which reduces the effect of the misjudgment of the single recognition method on the total recognition rate, has strong robustness, and can effectively improve the target recognition rate.