基于运动学参数的高速高机动目标跟踪自适应IMM算法

提出一种基于运动学参数的自适应IMM算法,进行高速高机动目标跟踪.该算法利用交互输出的结果,计算目标的运动学参数,进而实时估算出机动目标的转弯率,利用估计值自适应地使模型与目标实际运动状态匹配.文中还将该算法与其他两种IMM算法进行了比较.蒙特卡罗仿真结果表明,这种算法跟踪目标的稳定性和精确性均优于其他两种算法,有利于高速高机动目标的实时跟踪,具有较好的可实现性.

An Adaptive IMM Algorithm Based on Kinematics Parameters for Tracking High Speed and High Maneuvering Target

This paper proposes one kind of adaptive IMM algorithm based on kinematics parameters used for tracking the high speed and high maneuvering target. This algorithm utilizes interacting outputs to calculate the kinematics parameters of the target, and estimates the turn rate of maneuvering target in real-time, and makes use of the estimations to adaptively match the model with the actual moving state of target. The tracking performance of the proposed algorithm is compared with that of two other IMM algorithms. The Monte Carlo simulation results indicate that this algorithm has more stable and accurate tracking performance than the two IMM algorithms, is effective in tracking in real-time the high speed and high maneuvering target, and is well practicable.