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为准确描述目标机动时加速度动态特性,实时结合目标机动的先验知识和动态信息,提出一类基于参考加速度的机动目标动态模型。该模型假设机动加速度具有非对称的四重一致混合分布的概率密度函数。这种非均匀的特性使得模型的加速度噪声方差随着目标机动自适应调整。该文推导了适宜于Kalman滤波器应用的相应离散化模型,并给出了该模型与其他典型的机动目标模型的联系。针对典型的高机动目标跟踪问题的仿真试验表明,该模型比标准的Singer模型及“当前”模型具有更好的机动目标跟踪能力。
In order to accurately describe the dynamic characteristics of the acceleration of the target maneuver, a dynamic model of the maneuvering target based on the reference acceleration is proposed based on the prior knowledge and dynamic information of the target maneuver in real time. The model assumes that the maneuver acceleration has an asymmetric quadratic probability density function of a uniformly mixed distribution. This non-uniform nature of the model makes the model of the acceleration and noise variance with the target maneuver adaptive adjustment. This paper derives the corresponding discretization model suitable for Kalman filter application, and gives the connection between this model and other typical maneuvering target models. The simulation experiments on a typical high maneuvering target tracking problem show that this model has better maneuvering target tracking ability than the standard Singer model and the “current” model.