Assessment of BeiDou-3 and Multi-GNSS Precise Point Positioning Performance

Jiao, Guoqiang; Song, Shuli; Ge, Yulong; Su, Ke; Liu, Yangyang

doi:10.3390/s19112496

Cited by 50 publications

(31 citation statements)

References 35 publications

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“…The positioning errors in time series of baseline SUT obtained by four strategies over 3 days are shown as an example in Figure 6. As mentioned in the introduction, Multi-GNSS can be beneficial to positioning accuracy compared with single-GNSS [3][4][5][6]. The RMSs of the four strategies with respect to each baseline over 30 days are shown in Figure 7, and it is obvious that the RMSs obtained by Multi-GNSS strategies are lower than by GPS-only strategies in all baselines.…”

Section: Accuracy Of Hvce Posterior Weighting-based Multi-gnss Positimentioning

confidence: 88%

“…By providing more satellites and signals, Multi-GNSS can benefit the GNSS community in many aspects. It can not only improve the positioning accuracy for both precise point positioning (PPP) and real-time kinematics (RTK), but also shorten convergence time to obtain the final positioning accuracy more quickly [3][4][5][6]. In the Multi-GNSS context, the International GNSS Service (IGS) initialized the Multi-GNSS EXperiment (MGEX) in 2014 [7], aiming to provide Multi-GNSS products such as precise orbit, clock and satellite bias.…”

Section: Introductionmentioning

confidence: 99%

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Helmert Variance Component Estimation for Multi-GNSS Relative Positioning

Nie

et al. 2020

Sensors

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The Multi-constellation Global Navigation Satellite System (Multi-GNSS) has become the standard implementation of high accuracy positioning and navigation applications. It is well known that the noise of code and phase measurements depend on GNSS constellation. Then, Helmert variance component estimation (HVCE) is usually used to adjust the contributions of different GNSS constellations by determining their individual variances of unit weight. However, HVCE requires a heavy computation load. In this study, the HVCE posterior weighting was employed to carry out a kinematic relative Multi-GNSS positioning experiment with six short-baselines from day of year (DoY) 171 to 200 in 2019. As a result, the HVCE posterior weighting strategy improved Multi-GNSS positioning accuracy by 20.5%, 15.7% and 13.2% in east-north-up (ENU) components, compared to an elevation-dependent (ED) priori weighting strategy. We observed that the weight proportion of both code and phase observations for each GNSS constellation were consistent during the entire 30 days, which indicates that the weight proportions of both code and phase observations are stable over a long period of time. It was also found that the quality of a phase observation is almost equivalent in each baseline and GNSS constellation, whereas that of a code observation is different. In order to reduce the time consumption of the HVCE method without sacrificing positioning accuracy, the stable variances of unit weights of both phase and code observations obtained over 30 days were averaged and then frozen as a priori information in the positioning experiment. The result demonstrated similar ENU improvements of 20.0%, 14.1% and 11.1% with respect to the ED method but saving 88% of the computation time of the HCVE strategy. Our study concludes with the observations that the frozen variances of unit weight (FVUW) could be applied to the positioning experiment for the next 30 days, that is, from DoY 201 to 230 in 2019, improving the positioning ENU accuracy of the ED method by 18.1%, 13.2% and 10.6%, indicating the effectiveness of the FVUW.

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Section: Accuracy Of Hvce Posterior Weighting-based Multi-gnss Positimentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Helmert Variance Component Estimation for Multi-GNSS Relative Positioning

Nie

et al. 2020

Sensors

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“…Figure 1 shows the distribution of all the stations. [31]. It is noteworthy that the difference between the iGMAS and IGS station coordinates' precision is at the millimetre level [32,33].…”

Section: Receiver Antennamentioning

confidence: 97%

“…Figure 1 shows the distribution of all the stations. The station coordinates in the SINEX file provided by iGMAS (http://112.65.161.230/download/index.php; ftp://222.240.181.170/products/) are used as references values to assess the positioning accuracy [31]. It is noteworthy that the difference between the iGMAS and IGS station coordinates' precision is at the millimetre level [32,33].…”

Section: Experimental Data and Processing Strategiesmentioning

confidence: 99%

BDS-3 Time Group Delay and Its Effect on Standard Point Positioning

Dai

Qin

2019

Remote Sensing

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The development of the BeiDou navigation system (BDS) is divided into three phases:The demonstration system (BDS-1), the regional system (BDS-2) and the global BeiDou navigation system (BDS-3). At present, the construction of the global BeiDou navigation system (BDS-3) constellation network is progressing very smoothly. The signal design and functionality of BDS-3 are different from those of BDS-1 and BDS-2. The BDS-3 satellite not only broadcasts B1I (1561.098 MHz) and B3I (1268.52 MHz) signals but also broadcasts new signals B1C (1575.42 MHz) and B2a (1176.45 MHz). In this work, six tracking stations of the international GNSS monitoring and assessment system (iGMAS) were selected, and 41 consecutive days of observation data, were collected. To fully exploit the code observations of BDS-2 and BDS-3, the time group delay (TGD) correction model of BDS-2 and BDS-3 are described in detail. To further verify the efficacy of the broadcast TGD parameters in the broadcast ephemeris, the standard point positioning (SPP) of all the signals from BDS-2 and BDS-3 with and without TGD correction was studied. The experiments showed that the B1I SPP accuracy of BDS-2 was increased by approximately 50% in both the horizontal and vertical components, and B1I/B3I were improved by approximately 70% in the horizontal component and 47.4% in the vertical component with TGD correction. The root mean square (RMS) value of B1I and B1C from BDS-3 with TGD correction was enhanced by approximately 60%-70% in the horizontal component and by approximately 50% in the vertical component. The B2a-based SPP was increased by 60.2% and 64.4% in the east and north components, respectively, and the up component was increased by approximately 19.8%. For the B1I/B3I and B1C/B2a dual-frequency positioning accuracy with TGD correction, the improvement in the horizontal component ranges from 62.1% to 75.0%, and the vertical component was improved by approximately 45%. Furthermore, the positioning accuracy of the BDS-2 + BDS-3 combination constellation was obviously higher than that of BDS-2 or BDS-3.

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“…Wang et al [4] applied the real-time multi-GNSS orbit and clock corrections of the CLK93 product released by Centre National d'Etudes Spatiales (CNES) for real-time multi-GNSS PPP processing, and its orbit and clock qualities were investigated. Jiao et al [5] focused on the assessment of PPP in different systems. Yasyukevich et al [6] analyzed the impact of the solar flares on the GNSS-based navigation.…”

Section: Introductionmentioning

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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Assessment of BeiDou-3 and Multi-GNSS Precise Point Positioning Performance

Cited by 50 publications

References 35 publications

Helmert Variance Component Estimation for Multi-GNSS Relative Positioning

Helmert Variance Component Estimation for Multi-GNSS Relative Positioning

BDS-3 Time Group Delay and Its Effect on Standard Point Positioning

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

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