Abstract: One of the main means of underwater defense is to use self-propelled acoustic decoy to defend the acoustic homing torpedo. The calculation amount of traditional exhaustive statistical method increases rapidly with the increase of decision parameters, which cannot satisfy the real-time requirements. According to the torpedo defense model based on a multi-entity finite state machine, this paper proposes a two-level parallel strategy, which divides the simulation cycle between processes and threads, and makes the optimal decision through data exchange. The experimental results demonstrate that the parallel model can make decisions identical to the actual combat situation in a short time. Under the calculation amount of 404 schemes simulation, the running time of the model is shortened from 144.65 s to 1.2 s, 120 times faster than the original program, which effectively solves the dilemma of real-time scheme decisions.

Key words: self-propelled acoustic decoy, torpedo defense, parallel algorithm