Abstract
Ambiguity resolution is the key to achieve rapid and accurate positioning, which is always the focus of GNSS research. The BeiDou navigation system provides triple-frequency signals, which can be combined into different forms. Based on these combinations, we can realize precise positioning and fix the ambiguity. First, we analyze the noise characteristics of combined observations and current ionosphere-free three-carrier ambiguity resolution (TCAR) algorithms. Second, we propose a TCAR algorithm with low noise and ionosphere-free impact, which is processed by the least squares principle under geometry model. After that, we achieve static positioning. Finally, in order to verify noise effect of combination and the performance of TCAR algorithms, a series of tests are conducted on real observations in short baseline and medium baseline. What is more, comparisons are made between current algorithms and the proposed algorithm. The results indicate that the proposed TCAR algorithm can improve ambiguity resolution success rate effectively, and then achieve precise positioning reliably.
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Cao, J., Lian, B., Song, Y. (2017). Triple-Frequency Carrier Ambiguity Resolution with Low Noise and Ionosphere-Free Impact for BDS. In: Sun, J., Liu, J., Yang, Y., Fan, S., Yu, W. (eds) China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume III. CSNC 2017. Lecture Notes in Electrical Engineering, vol 439. Springer, Singapore. https://doi.org/10.1007/978-981-10-4594-3_31
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DOI: https://doi.org/10.1007/978-981-10-4594-3_31
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