Ground\|based GPS Tomography of Wet Refractivity with Adaptive Kalman Filter

An exponent fading factor adaptive Kalman filter algorithm instead of standard Kalman filter is introduced to improve the ground\|based GPS tomographic method of wet refractivity. Two different periods of GPS observation data and meteorological data from Hong Kong CORS are processed to determinate the 3D distribution of wet refractivity with tomographic method. The results show that this method can retrieve the wet refractivity vertical profile and 3D distribution precisely within a long tomographic procedure without any divergence.