基于双层规划的高超声速飞行器预警资源分配方法

针对高超声速飞行器预警系统中资源难以合理利用的问题,提出一种基于双层规划的预警资源分配方法.首先,建立高超声速飞行器运动状态的马尔可夫模型,提出威胁评估的方法;其次,基于隐马尔可夫模型和卡尔曼滤波,提出双层规划的高超声速飞行器预警资源分配模型,下层规划以单位资源损耗下信息增益为目标函数,上层规划以风险的降低为目标函数;...

Early warning resource allocation method for hypersonic vehicle based on bi-level programming

In order to solve the problem of that it is difficult to make reasonable use of resources in a hypersonic vehicles early warning system, an early warning resource allocation method based on bi-level programming is proposed. Firstly, the Markov state transition model of target motion state is established, and the method of threat assessment is proposed. Secondly, based on hidden Markov model and Kalman filter, a hypersonic vehicle early warning resource allocation model based on bi-level programming is proposed. The lower level planning takes the information gain under the unit resource loss as the objective function, and the upper level planning takes the risk reduction as the objective function. In order to solve the model, an improved generalized particle swarm optimization algorithm is proposed. Finally, the effectiveness and feasibility of the resource allocation method and algorithm proposed are verified by simulation analysis.