An adaptive parameter model for maneuvering target tracking

We first summarize the conventional maneuvering target models, such as CA/CV, Markov and Singer models. These models cannot model the maneuvering features of a target with larger estimating error and estimating delay. To solve this problem, an adaptive parameter model for maneuvering target tracking is submitted. The simulation results show that the adaptive Kalman estimator based on this model can track maneuvering targets with higher accuracy and smaller estimating delay and is suitable for online processing