Performance assessment of real-time precise point positioning using BDS PPP-B2b service signal

Ren, Zhiling; Gong, Hang; Peng, Jing; Tang, Chengpan; Huang, Xinming; Sun, Guangfu

doi:10.1016/j.asr.2021.06.006

Cited by 40 publications

(12 citation statements)

References 15 publications

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“…For BDS-3 (BDS-3 + GPS), the static positioning accuracy was 2.6 (2.1) cm, the dynamic positioning accuracy was 21.5 (15.2) cm horizontally and 33.4 (30.3) cm vertically, with a convergence time of 17.4 (16.2) minutes. Other scholars have reported similar performance results 10 – 13 . Multi-frequency combination models are advantageous for speeding up PPP convergence 14 .…”

Section: Introductionsupporting

confidence: 74%

A static precise single-point positioning method based on carrier phase zero-baseline self-differencing

Lv,

Cai,

Cai

et al. 2024

Sci Rep

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Satellite navigation positioning has become an indispensable component of everyday life, where precise pinpointing and rapid convergence are crucial in delivering timely and accurate location information. However, due to the damping of integer ambiguities and system residual errors, the rapid convergence of Precise Point Positioning (PPP) implementation is a significant challenge. To address this, this paper proposes a novel Carrier Phase Zero-Baseline Self-Differencing Precise Point Positioning (CZS-PPP) technique and its ionosphere-free fusion model. By employing the proposed CZS-PPP approach in separate scenarios involving BDS-3, GPS, and dual-system settings, we systematically validate the efficacy of the method. The experimental results indicate that the convergence time of the method is less than 4 min in a single-system scenario. Furthermore, in a dual-system scenario, the method can achieve rapid convergence in less than 3 min. The CZS-PPP technique presented demonstrates the elimination of integer ambiguities and the effective suppression of system residuals, in comparison to the conventional method. The proposed approach has demonstrated remarkable performance across different systems, offering a promising new pathway for achieving PPP fast convergence in BDS/GNSS.

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Section: Introductionsupporting

confidence: 74%

A static precise single-point positioning method based on carrier phase zero-baseline self-differencing

Lv,

Cai,

Cai

et al. 2024

Sci Rep

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“…Usually, orbit accuracy in radial components and clock accuracy are the major factors affecting positioning accuracy. Thus, the position solution with high accuracy can be obtained by using the orbit/clock corrections from the PPP-B2b service, which can also be illustrated in the works [17][18][19]. Based on the PPP-B2b service, the position differences of BSSD PPP solutions in th north, east, and vertical with different GNSS systems are shown in Figure 6, and the co responding RMS are listed in Table 2.…”

Section: Accuracy Of Ppp-b2b Corrections and Bssd Pppmentioning

confidence: 94%

Low-Cost IMU and Odometer Tightly Augmented PPP-B2b-Based Inter-Satellite Differenced PPP in Urban Environments

Min

Гао

et al. 2022

Remote Sensing

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Since 23 June 2020, BDS-3 has been entirely operated and obtained the ability of global PNT (Positioning, Navigation, and Timing) services. Afterward, real-time Precise Point Positioning (PPP) service is available in China’s surrounding areas via BDS-3 PPP-B2b signal. However, such a real-time PPP service cannot maintain the high accuracy and continuity of positioning solutions in challenging environments, such as urban environments. For that, we carried out a model by integrating between-satellite single-differenced (BSSD) PPP, a low-cost Inertial Navigation System (INS), and an odometer via an extended Kalman filter. The performance of this integration model was assessed with vehicle-borne data. Results demonstrated that (1) the position RMS (Root Mean Square) of BSSD PPP are 64.33 cm, 53.47 cm, and 154.11 cm. Compared with BSSD PPP, about 31.2%, 23.3%, and 27.3% position improvements can be achieved by using INS. Further enhancements of position RMS benefiting from the odometer are 1.34%, 1.41%, and 1.73% in the three directions. (2) Anyway, the accuracy of BSSD PPP/INS/Odometer tightly coupled integration is slightly higher than that of undifferenced PPP/INS/Odometer integration, with average improvement percentages of 7.71%, 3.09%, and 0.27%. Meanwhile, the performance of BSSD PPP/INS/Odometer integration during the periods with satellite outages is better than the undifferenced PPP-based solutions. (3) The improvements in attitudes from an odometer are more significant on heading angle than the other two attitudes, with percentages of 25.00%. (4) During frequent GNSS outage periods, the reduction in average maximum position drifts provided by INS are 18.01%, 8.95%, and 20.74%. After integrating with an odometer, the drifts can be furtherly decreased by 25.11%, 15.96%, and 20.69%. For attitude, about 41.67% reduction in average maximum drifts of heading angles is obtained.

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“…where * is a wildcard which denotes '2I', '6I', '1P' or '5P' and represents B1I, B3I, B1C and B2a, respectively; ρ is the true geometric range from satellite to receiver; c is speed of light; dt r and dt s are the clock offsets for receiver and satellite; T and I are the tropospheric and ionospheric delays; b r and b s are the code hardware delays in receiver and satellite; ξ is the noise term. BDS-3 broadcast satellite clock offset is defined in B3I signal and the satellite hardware delay of B3I signal is assimilated by the satellite clock offset [20]. Consequently, the code observation of B3I can be rewritten as…”

Section: Bds-3 CV Time Transfermentioning

confidence: 99%

“…And the corresponding TGDs should be changed according to the tracking model of the receivers. The dual-frequency ionosphere-free linear combination (IF LC) can largely eliminate the ionospheric delays [20]. Two dual-frequency combinations are used in this study, which are the combinations of B1I&B3I and B1C&B2a.…”

Section: Bds-3 CV Time Transfermentioning

confidence: 99%

Time transfer with BDS-3 signals: CV, PPP and IPPP

Ren¹,

Gong²,

Lyu³

et al. 2023

Meas. Sci. Technol.

Self Cite

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The third phase of BeiDou navigation satellite system (BDS-3) was officially commissioned on July 31, 2020. In this study, we make a comprehensive evaluation of BDS-3 time transfer with the B1I, B3I, B1C and B2a measurements. The muti-path errors and noises of different BDS-3 ranging signals are analyzed to illustrate characteristic of the code observations firstly. Then dual-frequency ionosphere-free linear combinations of BDS-3 B1I&B3I and B1C&B2a measurements are used to achieve time transfer. Using Multi-GNSS Experiment (MGEX) station observations, we evaluate the performance of BDS-3 time transfer with Common-View (CV), precise point positioning (PPP) and integer ambiguity PPP (IPPP) techniques. Analysis results show that BDS-3 B1C&B2a CV time transfer links show a better performance than GPS L1P&L2P links, whereas BDS-3 B1I&B3I links are worse than GPS links. For the PPP time transfer, GPS links show the best performance, followed by BDS-3 B1C&B2a links and B1I&B3I links. Furthermore, frequency stability of BDS-3 IPPP time transfer is more stable than PPP solutions at the long average interval time. And the long-term frequency stability of BDS-3 IPPP is comparable with GPS IPPP.

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Performance assessment of real-time precise point positioning using BDS PPP-B2b service signal

Cited by 40 publications

References 15 publications

A static precise single-point positioning method based on carrier phase zero-baseline self-differencing

A static precise single-point positioning method based on carrier phase zero-baseline self-differencing

Low-Cost IMU and Odometer Tightly Augmented PPP-B2b-Based Inter-Satellite Differenced PPP in Urban Environments

Time transfer with BDS-3 signals: CV, PPP and IPPP

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