Application of Adaptive Strong Tracking Kalman Filter Based on Fuzzy Logic to GPS Positioning

When the velocity of carrier frequently was mutated, Kalman filter have strong dependence of system model and poor robustness in GPS positioning computation. A new improved strong tracking Kalman filter based on fuzzy logic adaptive controller is presented. By monitoring the residual mean, the fuzzy logic adaptive controller of this method dynamically adjusts the softening factor according to fuzzy rules. For this reason, this method modifies the fading adaptively and achieve the inhibition of carrier mutation. The results of simulation indicate that this new approach has a better accuracy than the extended Kalman filter and strong tracking Kalman filter in the field of maneuvering target tracking in carrier mutation, its stability are also improved.