基于自适应IMM算法的蛇形机动目标加速度估计研究

针对防空导弹拦截高速蛇形机动反舰导弹的难题,基于导引头测量的视线角速度、弹目相对速度等信息,开展了蛇形机动目标加速度估计算法的研究,最终建立了基于交互多模型的扩展卡尔曼滤波算法,实现了对蛇形机动目标的加速度估计。考虑传统加速度方差计算方法受限于先验值的缺陷,根据残差对加速度方差的计算方法进行了改进。数字仿真证明:提出的自适应交互多模型算法能有效提高蛇形机动目标加速度的估计精度。

Research on the Acceleration Estimation of Serpentine Maneuvering Target Based on the Adaptive IMM Algorithm

In view of the difficult problem of anti-aircraft missiles intercepting high-speed serpentine maneuvering anti-ship missiles, a study on the acceleration estimation algorithm for serpentine maneuvering targets is carried out based on the information such as the line-of-sight rate measured by the seeker and the relative velocity between the missile and the target. Finally, an extended Kalman filtering algorithm based on interacting multiple model (IMM) is established, and the acceleration estimation of the serpentine maneuvering targets is realized. Considering the defect that the traditional acceleration variance calculation method is limited by the prior value, the method for calculating the acceleration variance is improved according to the residual error. The simulation results show that the proposed adaptive IMM algorithm can effectively improve the estimation precision of the acceleration of the serpentine maneuvering target.