Maneuvering Target Tracking Based on Adaptive Turning Rate Interactive Multiple Model
Yunhong Ma, Zelin Wang, Zhang Yaozhong, Yongkun Wang · 2022
Real-time tracking maneuvering targets is vital for monitor the target. This paper proposes an adaptive turn rate target tracking algorithm based on the interactive multiple model target tracking algorithm, which calculates the angular velocity according to the target turning radius and velocity in real time. An AIMM algorithm is also proposed, which corrects the probability transition matrix real time using the slope of the model prior probability change, and it reduce the tracking error and improve the robustness of the tracking. Simulation is presented to testify the tracking accuracy and stability of the algorithm proposed in this paper.