Abstract:Abstract: Traditional algorithm on underwater vehicle radiated noise calculation could not satisfy real-time request in practical use due to long computing time. Aimed at this disadvantage, the problem can be converted into a pattern recognition problem based on multisensor data fusion, and a new method of fast evaluation acoustic stealth condition of underwater vehicle has been researched. The method has combined an improved D-S theory and image Euclidean distance model. Firstly, the power of each frequency band in analysis band was extracted as the feature vectors. And then the evidence was built with image Euclidean distance. At last, the rapid assessment was made by the improved D-S theory. The availability of the method was proved by computer simulation and an underwater experiment. The advantages have been researched in detail, and disadvantages have also been pointed out. A new approach to evaluation on acoustic stealth condition of underwater vehicle has been searched out.