Abstract
For GPS medium-long baseline real-time kinematic (RTK) positioning, the troposphere parameter is introduced along with coordinates, and the model is ill-conditioned due to its strong correlation with the height parameter. For BeiDou Navigation Satellite System (BDS), additional difficulties occur due to its special satellite constellation. In fact, relative zenith troposphere delay (RZTD) derived from high-precision empirical zenith troposphere models can be introduced. Thus, the model strength can be improved, which is also called the RZTD-constrained RTK model. In this contribution, we first analyze the factors affecting the precision of BDS medium-long baseline RTK; thereafter, 15 baselines ranging from 38 km to 167 km in different troposphere conditions are processed to assess the performance of RZTD-constrained RTK. Results show that the troposphere parameter is difficult to distinguish from the height component, even with long time filtering for BDS-only RTK. Due to the lack of variation in geometry for the BDS geostationary Earth orbit satellite, the long convergence time of ambiguity parameters may reduce the height precision of GPS/BDS-combined RTK in the initial period. When the RZTD-constrained model was used in BDS and GPS/BDS-combined situations compared with the traditional RTK, the standard deviation of the height component for the fixed solution was reduced by 52.4% and 34.0%, respectively.
Highlights
Real-time kinematic (RTK) positioning is one of the most widely used surveying techniques given its high reliability and preferable precision
In the GPS/BeiDou Navigation Satellite System (BDS) situation, the accuracy of the height component was improved by 51.5% and the abnormal values in the traditional RTK disappeared in the GPT2-constrained RTK
The height component is highly correlated with troposphere parameters and was unstable in the medium-long baseline RTK solution
Summary
Real-time kinematic (RTK) positioning is one of the most widely used surveying techniques given its high reliability and preferable precision. For medium-long baseline RTK, the ionosphere and the troposphere are considered two key dominant error sources that limit the capability of carrier phase ambiguity resolution (AR) and positional precision. Numerous efforts have been exerted to improve medium-long baseline RTK positioning by considering atmospheric delay [1,2,3,4]. Bock [1] proposed an ionosphere-weighted model using uncombined double-differenced (DD) observation equations, and the model was proven effective for improving the precision of float ambiguity and shortening the initialization time of RTK [3,5,6,7]. Network RTK is an alternative approach for mitigating atmospheric errors [8,9]. A number of AR strategies have been proposed for medium-long baseline RTK [10,11,12,13,14]
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