A robust interacting multiple model approach is proposed to address the
problem of accuracy and non-Gaussian measurement noise in maneuvering
target tracking. Firstly, the interacting multiple model effectively
improves the accuracy of maneuvering target tracking. Secondly, the
multiple fading factors are introduced into the prediction covariance
matrix for adjusting the gain matrix in real-time to enhance the
accuracy caused by model mismatch and improve the ability of state
transitions. Finally, the maximum correntropy criterion effectively
promotes the robustness to outliers. The effectiveness of the proposed
approach has been verified through simulation.