Abstract Based on the traditional algebraic reconstruction technique (ART), an variable weight algebraic reconstruction technique (VWART) of constraint equations is proposed, and the GNSS observation data of CORS network in Hong Kong area in August 2019 is used for experiments, and the sounding data of HKKP is selected for verification and analysis. The results show that, compared with the traditional ART, the accuracy, stability and reliability of the solution results of the VWART are improved. The RMSE is reduced by 20.334% using the sounding data as an example, and the vertical water vapor profile distribution of the VWART is better than that of the traditional ART under different levels of precipitation.
WANG Hao,DING Nan,ZHANG Wenyuan et al. Algebraic Reconstruction Techniques with Variable Weight of Constraints for GNSS Water Vapor Tomography[J]. jgg, 2022, 42(8): 857-862.
WANG Hao,DING Nan,ZHANG Wenyuan et al. Algebraic Reconstruction Techniques with Variable Weight of Constraints for GNSS Water Vapor Tomography[J]. jgg, 2022, 42(8): 857-862.
