基于粒子滤波技术的欺骗路径识别

Deceptive path recognition based on particle filter technology

欺骗路径规划是作战仿真中的研究内容之一。对于欺骗路径,传统的路径识别方法存在很大的局限性,识别效率不高。针对目前路径识别方法中存在的不足,提高对欺骗路径的识别效果,将粒子滤波技术引入到欺骗路径识别领域。通过建立系统状态方程和观测方程,一方面降低观测噪声带来的干扰,准确把握当前时刻识别对象的位置信息;另一方面根据采集到的动态数据估计欺骗模型中的关键参数,从而对识别对象的运动趋势和真实目标进行判断。仿真实验表明,基于粒子滤波技术的欺骗路径识别方法能够提升识别效率,准确地判断出识别对象的真实进攻目标。

Deceptive path planning is part of the research content in combat simulation.For deceptive path,the traditional path recognition method has great limitations,and the recognition efficiency is not high.Aiming at the shortcomings in the current path recognition method,this paper introduces the particle filter technology into the deceptive path recognition field.By establishing the system state equation and the observation equation,on the one hand,the interference caused by the observation noise is reduced,and the position information of the object at the current moment is accurately grasped.On the other hand,based on the collected dynamic data,the key parameters in the deceptive model are estimated,so as to judge the moving trend and the real target.Simulation experiments show that the deceptive path recognition method based on the particle filter can improve the recognition efficiency and accurately determine the real attack target of the recognition object.