NSHV机动目标跟踪的自适应模型算法

Adaptive model algorithm for maneuvering target tracking of NSHV

临近空间高超声速飞行器具有飞行轨迹多变、机动性强等特点,而周期性的滑跃式飞行是其常用的重要机动形式。将目标加速度建模为时间自相关的随机过程,结合"当前"统计模型的自适应跟踪思想,提出了一种针对临近空间高超声速飞行器机动目标跟踪的模型。采用容积卡尔曼滤波算法分别对单模型和交互式多模型进行了蒙特卡罗仿真分析,结果表明该模型在跟踪临近空间高超声速飞行器时有较好的跟踪精度和适用性。

The near space hypersonic vehicle has the variable flight path,strong mobility and other characteristics.And the periodic ski-jump flight is a common and important maneuver form.Modeling the target acceleration as a stochastic process with time autocorrelation,combined with adaptive tracking thinking of the＂current＂statistical model,a model for the near space hypersonic vehicle maneuvering target tracking is proposed.Use the cubature Kalman filter algorithm to analyze the Monte Carlo simulation of the single model and the interactive multiple model,the results show that the model for tracking the near space hypersonic vehicle has a better tracking accuracy and applicability.