An UKF target tracking method with effective suppression of angular glint
Zhang Guodong, Chonglun Li · 2013
Angular glint noise is a kind of correlated and non-gaussian noise. When dealing with tracking problem in correlated and non-gaussian noise environment, the performance of traditional Unscented Kalman Filter(UKF) will degrade significantly. In order to solve the target tracking problem under the angular glint, this paper raises a new UKF algorithm based on the measurement equations linearization, and it is compared with traditional UKF. The simulation result shows that the new method can effectively get the nonlinear system state estimation in the colored noise environment. Because the linearization is proceeded during the process of solving the new measurement equations' error, so the accuracy of this method is influenced smaller, and this method has extensive adaptability.