基于变维交互作用的IMM-CKF算法

IMM-CKF ALGORITHM BASED ON VARIABLE DIMENSION INTERACTION

为了对非线性情况下的机动目标进行跟踪,提出一种变维交互作用的交互多模型容积卡尔曼滤波(IMM-CKF)算法。该算法结合变维交互作用多模型滤波方法和容积卡尔曼滤波方法,对使用相同维数模型的IMM-CKF算法进行扩展,使其能够应用于更一般的目标跟踪环境。仿真结果表明,该算法的跟踪精度明显高于变维交互作用下的交互多模型不敏卡尔曼滤波(IMM-UKF)算法,验证了该算法的可行性和有效性。

To track manoeuvering target in nonlinear condition,an interacting multiple model cubature Kalman filter（IMM-CKF） algorithm with variable dimension interaction model is proposed.The algorithm combines the filtering method of IMM with variable dimension interaction and the cubature Kalman filtering method,extends the IMM-CKF algorithm with same dimension model,makes it be able to apply to the more general target-tracking environment.Simulation results show that this algorithm has obviously higher tracking accuracy than the IMM-UKF with variable dimension interaction method,and also verify the feasibility and effectiveness of the algorithm.