An Augmented State Target Tracking Algorithm with Systematic Errors Based on the Unscented Kalman Filter
Yang Jian · Journal of Projectiles.Rockets.Missiles and Guidance · 2007
The problem that how to track a three-dimensional target with systematic errors is researched in this paper.Using the unscented Kalman filter,an augmented state unscented Kalman filter tracking algorithm is proposed.The simulation results show that the given algorithm does not require the linearization of the model,and can estimate efficiently.