Modeling and assessment of triple-frequency BDS precise point positioning

Guo, Fei; Zhang, Xiaohong; Wang, Jinling; Ren, Xiaodong

doi:10.1007/s00190-016-0920-y

Cited by 112 publications

(56 citation statements)

References 21 publications

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“…In addition, some initial results are presented, including the analysis of cross-correlation and prediction for real-time precise positioning users as well as the IFCB of BDS-3 satellites. Guo et al [5] implemented the triple-frequency PPP with BDS data for the first time. However, the additional frequency had a marginal effect on the positioning accuracy in their results, likely because they neglected the effects of IFCB.…”

Section: Discussionmentioning

confidence: 99%

Considering Inter-Frequency Clock Bias for BDS Triple-Frequency Precise Point Positioning

Pan

Zhang

et al. 2017

Remote Sensing

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Abstract:The joint use of multi-frequency signals brings new prospects for precise positioning and has become a trend in Global Navigation Satellite System (GNSS) development. However, a new type of inter-frequency clock bias (IFCB), namely the difference between satellite clocks computed with different ionospheric-free carrier phase combinations, was noticed. Consequently, the B1/B3 precise point positioning (PPP) cannot directly use the current B1/B2 clock products. Datasets from 35 globally distributed stations are employed to investigate the IFCB. For new generation BeiDou Navigation Satellite System (BDS) satellites, namely BDS-3 satellites, the IFCB between B1/B2a and B1/B3 satellite clocks, between B1/B2b and B1/B3 satellite clocks, between B1C/B2a and B1C/B3 satellite clocks, and between B1C/B2b and B1C/B3 satellite clocks is analyzed, and no significant IFCB variations can be observed. The IFCB between B1/B2 and B1/B3 satellite clocks for BDS-2 satellites varies with time, and the IFCB variations are generally confined to peak amplitudes of about 5 cm. The IFCB of BDS-2 satellites exhibits periodic signal, and the accuracy of prediction for IFCB, namely the root mean square (RMS) statistic of the difference between predicted and estimated IFCB values, is 1.2 cm. A triple-frequency PPP model with consideration of IFCB is developed. Compared with B1/B2-based PPP, the positioning accuracy of triple-frequency PPP with BDS-2 satellites can be improved by 12%, 25% and 10% in east, north and vertical directions, respectively.

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Section: Discussionmentioning

confidence: 99%

Considering Inter-Frequency Clock Bias for BDS Triple-Frequency Precise Point Positioning

Pan

Zhang

et al. 2017

Remote Sensing

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“…Fig. 3 has revealed that the third-frequency pseudorange has limited impact on float PPP solutions in terms of positioning errors and convergence times; this is because the addition of L5/B3/E5b signals does not improve the satellite geometry or the pseudorange precision, which are both critical to speeding up PPP covergence (see also Guo et al, 2016;Guo and Geng, 2018). Thus we show in the left panels of Fig.…”

Section: Multi-gnss Fcbsmentioning

confidence: 99%

Speeding up PPP ambiguity resolution using triple-frequency GPS/BeiDou/Galileo/QZSS data

Geng

Guo

Meng

et al. 2020

J Geod

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Precise point positioning (PPP) has been suffering from slow convergences to ambiguity-fixed solutions. It is expected that this situation can be relieved or even resolved using triple-frequency GNSS data. We therefore attempt an approach where uncombined triple-frequency GPS/BeiDou/Galileo/QZSS (Quasizenith satellite system) data are injected into PPP, whereas their raw ambiguities are mapped into the extra-wide-lane, wide-lane and narrow-lane combinations for integer-cycle resolution at a single station (i.e., PPP-AR). Once both extra-widelane and wide-lane ambiguities are fixed to integers, the resulting unambiguous (extra-)wide-lane carrier-phase can usually outweigh the raw pseudorange to improve the convergence of positions and narrow-lane ambiguities. We used 31 days of triple-frequency multi-GNSS data from 76 stations over the Asia-Oceania regions and divided them into hourly pieces for real-time PPP-AR. We found that the positioning accuracy for the first ten minutes of epochs could be improved by about 50% from 0.23, 0.18 and 0.43 m to 0.12, 0.08 and 0.27 m for the east, north and up components, respectively, once wide-lane ambiguity fixing was achieved for triple-frequency PPP. Consequently, 48% of PPP solutions could be initialized successfully with narrow-lane ambiguities resolved within 2 minutes, in contrast to only 26% for dual-frequency PPP. On average, 6 minutes of epochs were required to achieve triple-frequency PPP-AR whereas 9 minutes for its dual-frequency counterpart. Of particular note, the more satellites contribute to triple-frequency PPP-AR, the faster the initializations will be; as a typical example, the mean initialization time declined to 3 minutes in case of 20-21 satellites. We therefore envision

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“…As another alternative to traditional PPP which uses the ionosphere-free combination model, undifferenced and uncombined PPP has attracted a lot of attention in the GNSS field [25][26][27]. This solution is more flexible in processing multi-frequency GNSS observations, avoids noise amplification caused by traditional linear combination, and can extract ionospheric delays [28][29][30].…”

Section: Dual-frequency Multi-gnss Pppmentioning

confidence: 99%

New Satellite Selection Approach for GPS/BDS/GLONASS Kinematic Precise Point Positioning

Lan

Gao

et al. 2019

Applied Sciences

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With the development of global satellite navigation systems, kinematic Precise Point Positioning (PPP) is facing the increasing computational load of instantaneous (single-epoch) processing due to more and more visible satellites. At this time, the satellite selection algorithm that can effectively reduce the computational complexity causes us to consider its application in GPS/BDS/GLONASS kinematic PPP. Considering the characteristics of different systems and satellite selection algorithms, we proposed a new satellite selection approach (NSS model) which includes three different satellite selection algorithms (maximum volume algorithm, fast-rotating partition satellite selection algorithm, and elevation partition satellite selection algorithm). Additionally, the inheritance of ambiguity was also proposed to solve the situation of constantly re-estimated integer ambiguity when the satellite selection algorithm is used in PPP. The results show that the NSS model had a centimeter-level positioning accuracy when the original PPP and optimal dilution of precision (DOP) algorithm solution were compared in kinematic PPP based on the data at five multi-GNSS Experiment (MGEX) stations. It can also reduce a huge amount of computation at the same time. Thus, the application of the NSS model is an effective method to reduce the computational complexity and guarantee the final positioning accuracy in GPS/BDS/GLONASS kinematic PPP.

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Modeling and assessment of triple-frequency BDS precise point positioning

Cited by 112 publications

References 21 publications

Considering Inter-Frequency Clock Bias for BDS Triple-Frequency Precise Point Positioning

Considering Inter-Frequency Clock Bias for BDS Triple-Frequency Precise Point Positioning

Speeding up PPP ambiguity resolution using triple-frequency GPS/BeiDou/Galileo/QZSS data

New Satellite Selection Approach for GPS/BDS/GLONASS Kinematic Precise Point Positioning

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