Submarine is the main security threat to the warship in the sea warfare so that anti-submarine becomes the priority task. In order to detect state information of submarines more precisely, this paper proposes an anti-submarine warfare simulation system based on dynamic data driven application system (DDDAS). We combine the simulation system and the real system of anti-submarine warfare by integrating the real measured data into a simulation model, which forms a mutual cooperation dynamic feedback control system between application simulation and measurement system. Considering uncertainly and clutter of measurement, we adopt random finite set (RFS) to the simulation model and design a data assimilate algorithm and measurement a control method. Simulation experiment shows that it can combine simulation system, anti-submarine system and measurement system to form a feasible and effective DDDAS which can achieve precise and reliable detection of submarine.