Since the simulation underwater acoustic signal is used in the semi-object simulation experiment of underwater weapons,it has great impression upon simulation fidelity.It is asked that whether simulation signals can replace the real signal effectually. Considering the randomness of signals,the interval estimation of feature parameters of simulation signals is made.By comparing the obtained confidence interval with the corresponding accept interval,the concept of similarity coefficient of simulation signals is given.By making a statistical analysis for similarity coefficient,the uniformity information of simulation signals is extracted,and the fuzzy number which expresses the fuzzy uniformity level of simulation signals is obtained.The analysis method on fuzzy uniformity of simulation underwater acoustic signals is presented.It is indicated by the application in simulation of target radiated-noises that the method is suitable and effectual for the simulation research on underwater acoustic signals,and the analysis result may provide support for decision-making relative to perfecting simulation systems and applying simulation signals. Since the simulation underwater acoustic signal is used in the semi-object simulation experiment of underwater weapons, it has great impression upon simulation fidelity. It is asked that whether the simulation signals can replace the real signal effect. of feature parameters of simulated signals is made. By comparing the obtained confidence interval with the corresponding accept interval, the concept of similarity coefficient of simulation signals is given. By making a statistical analysis for similarity coefficient, the uniformity information of the simulated signals is extracted, and the fuzzy number which expresses the fuzzy uniformity level of simulation signals is obtained. The analysis method on fuzzy uniformity of simulation underwater acoustic signals is presented. It is indicated by the application in simulation of target radiated-noises that the method is suitable and effectual for the simulation research on underwater acous tic signals, and the analysis result may provide support for decision-making relative to perfecting simulation systems and applying simulation signals.