Adaptive Extended Kalman Filtering for SINS/GPS Integrated Navigation Systems

An improved adaptive extended Kalman filtering algorithm is proposed here to estimate the measurement noise on-line for the SINS/GPS integrated navigation systems. The measurement remnant chi-square method is used to automatically adjust the sliding window basing on the innovation sequence. The experiment result shows that this new approach could improve the accuracy of the integrated navigation system effectively when the measurement noise is unknown.