Estimate Tropospheric Wet Path Delays with Stochastic Process in Relative Positioning
【摘要】：Tropospheric path delay would be one of main error source in medium and long distance baseline processing. Due to complexity of Troposphere variation, it is very hard to model the troposphere delay; the most commonly used method is estimate tropospheric path delay residuals of correction model during data processing. In this paper, Kalman filter was used in relative positioning;meanwhile, troposphere wet path delay residuals were estimated with stochastic process method. The influence of different pre-fit constraint on troposphere delay estimation was discussed; impact of troposphere wet delay residuals on relative positioning was also presented.