Abstract
BeiDou navigation satellite system transmits triple-frequency signals. This paper reviews the disadvantages of the traditional least-squares ambiguity decorrelation adjustment algorithm in the ambiguity resolution and exploits the advantages of triple-frequency BDS. A new ambiguity resolution method that is based on adaptive ionosphere estimation constraints for medium-length baselines (from 50 to 100 km) is proposed. We realize the method in two steps. First, double-differencing uncombined observables (B1/B2/B3 observables) are used to obtain float solutions with atmospheric delay estimated as a random walk parameter by using the extended Kalman filter. Second, two ambiguity search equations are constructed between any two uncombined ambiguities. The adaptively estimated ionospheric delay shown in step one is also used to constrain ambiguity search equations. Finally, traversal search of integer ambiguity is performed. The method is decreasingly affected by the cycle slips and reference satellite switching, which can effectively avoid the unstable positioning accuracy of the carrier in the RTK positioning of medium-length baselines. In this study, BDS triple-frequency data collected from two baselines of 53 km and 103 km, respectively, are used to validate the proposed method. Experiments show that the medium-length baseline ambiguity can be rapidly fixed within one single epoch. Although the baseline is over 100 km, the accuracy of coordinate component under dynamic conditions can reach the centimeter level.
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Yang, G., Wang, Q., Zhou, S. et al. A New AR Method Using BDS Triple-Frequency Observation. J Indian Soc Remote Sens 49, 2199–2213 (2021). https://doi.org/10.1007/s12524-021-01378-7
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DOI: https://doi.org/10.1007/s12524-021-01378-7