基于动态数据驱动的反潜战仿真系统目标探测设计

潜艇是海战中军舰的主要安全威胁,反潜成为海上作战的首要任务。为了更精确地探测潜艇的状态信息,提出基于动态数据驱动的反潜战系统目标探测方式,在仿真模型中融入真实测量数据,把反潜战仿真系统和真实系统相结合,使应用仿真与测量系统之间构成相互协作的动态反馈控制系统。考虑测量不确定性和杂波等因素,采用随机有限集(random finite set,RFS)实现反潜战系统的仿真建模,设计基于RFS的数据同化算法和测量控制方法。实验表明基于动态数据驱动的反潜战系统能够使仿真系统、反潜战系统和测量系统形成可行有效的动态数据驱动应用系统(dynamic data driven application system,DDDAS),并且能够实现对潜艇目标进行精确可靠地探测。

Research on target detection in anti-submarine warfare simulation system based on DDDAS

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.