Abstract
Network-based ambiguity resolution (AR) between reference stations is the prerequisite to realize a precise real-time kinematic positioning service. With the help of BDS triple-frequency signals, we can efficiently deal with the ionospheric delay and tropospheric delay, and achieve rapid and reliable AR. To overcome the inaccurate ionospheric delay estimated by the geometry-free three carrier ambiguity resolution (GF TCAR) technique, which leads to failure in the original ambiguity resolution, we propose an ionospheric-free (IF) TCAR method to resolve the ambiguity between the reference stations over long baselines. Taking full advantage of the known positions of the reference stations, the easily resolved extra-wide-lane (EWL) ambiguity, and the IF phase combinations, we can reliably fix the wide-lane (WL) ambiguity. A Kalman filter is applied to estimate precise IF ambiguities and the original ambiguity is resolved with the fixed WL ambiguity. A numerical analysis with triple-frequency BDS data from three long baselines of a CORS network is provided to compare the AR performance of GF TCAR with that of IF TCAR. The results show that both methods can reliably resolve the WL ambiguity with a remarkable correctly-fixed rate of higher than 99%, and the reliably-fixed rates of the IF TCAR slightly increase from 92.19, 94.67 and 94.61–98.26, 99.54 and 97.51% for the three baselines. Herein “correctly-fixed” and “reliably-fixed” mean the difference between the float ambiguity and the true one are less than ± 0.5 and ± 0.25 cycles, respectively. On the other hand, the AR performance of the original signals with the IF TCAR method is much better than that with the GF TCAR method attaining a 100% correctly-fixed rate, while the GF TCAR method can hardly fix the original ambiguity with the largest bias being as much as 4 cycles because of the amplified systematic bias.
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Acknowledgements
This work is sponsored partially by National Key Research and Development Program of China (Grant No. 2017YFB0503702, 2016YFB0501802), and partially by the Fundamental Research Funds for the Central Universities (Grant No. 2042017kf0043, 2042018gf0001). The authors are grateful for the constructive suggestions by the anonymous reviewers.
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The BDS triple-frequency observation data used in this contribution are available from the corresponding author upon request.
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Tang, W., Shen, M., Deng, C. et al. Network-based triple-frequency carrier phase ambiguity resolution between reference stations using BDS data for long baselines. GPS Solut 22, 73 (2018). https://doi.org/10.1007/s10291-018-0737-7
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DOI: https://doi.org/10.1007/s10291-018-0737-7