A Tropospheric Delay Prediction Model based on Spectrum Analysis
and the AR Compensation
1〓School of Transportation Engineering, Changsha University of Science and Technology,
960 South-Wanjiali Road, Changsha 410004,China
2〓College of Mechatronics, Engineering and Automation, National University of Defense Technology,
109 Deya Road, Changsha 410073,China
Abstract：Tropospheric delay is one of the main errors affecting the accuracy of satellite navigation and positioning. In response to problems without meteorological conditions, a modeling and forecasting method of tropospheric delay is proposed using the measured value of zenith tropospheric delay (ZTD). Firstly, the cycle characteristics of the time series of ZTD are obtained using spectral analysis. On this basis, the ZTD model is created and the calculation method of model parameters is given. Secondly, the value of ZTD is fitted based on spectral analysis. A comparison is made between the fitting values and the actual data. The fitting residual is determined. Finally, the fitting residual is corrected and predicted using the Auto Regressive model (AR model). The results show that the corrected and predicted model of ZTD based on spectrum analysis and the AR compensation can meet the needs of different testing environments, with the accuracy reaching the centimeter level.
Lv Huizhu,HUANG Wende,WEN Debao. A Tropospheric Delay Prediction Model based on Spectrum Analysis
and the AR Compensation[J]. jgg, 2015, 35(2): 283-286.
