According to the characteristics of ballistic missile target fusion recognition, analyzed the single sensor multi feature multiple input multiple output fuzzy neural network(MIMO-FNN) model and the multi sensor single feature MIMO-FNN model. On this basis and combined with the realistic process of ballistic missile target fusion recognition, a multi sensor multi feature MIMO-FNN model was proposed. This model first took the output of every single sensor multi feature MIMO-FNN model as input, and calculated the fusion weight of every sensor by expert knowledge, then used the sum product fuzzy inference and weighted summation to ambiguity resolution, and got the results of fusion recognition. The simulation showed the feasibility and effectiveness of this model.