GPS navigation processing using the IMM-based EKF

This paper presents an interacting multiple model (IMM)-based extended Kalman filter (EKF) approach for the Global Positioning System (GPS) navigation processing. The well-known extended Kalman filter has been widely applied to the GPS navigation processing. The “soft-switching” IMM estimator obtains its estimate as a weighted sum of the individual estimates from a number of parallel filters matched to different motion modes of the platform. The IMM estimators can substantially improve navigation accuracy during vehicle maneuvering (such as circular motion and acceleration) as well as during constant velocity straight-line motion over the conventional EKF. Simulation results show that the IMM-based EKF outperforms the single model EKF in navigation estimation accuracy.