Improving GNSS PPP Convergence: The Case of Atmospheric-Constrained, Multi-GNSS PPP-AR

Aggrey, John; Bisnath, Sunil

doi:10.3390/s19030587

Cited by 33 publications

(19 citation statements)

References 22 publications

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“…Once the raw data outage occurs in the receiver m, the prior BSSD IF ambiguities and ZWD can be determined by (9) and 10, and their VC-matrix can be obtained based on (11) and (12). The prior VC-matrix of receiver s float-estimated states can be written as follows,…”

Section: Instantaneous Initialization With Zero-baseline Constraint Omentioning

confidence: 99%

“…RT-PPP takes tens of minutes for the phase ambiguity to converge to the desired accuracy of centimeter-level, and the initialization time depends on satellite geometry and prevailing atmospheric conditions [5,6]. With the assistance of the uncalibrated phase delay (UPD) products and some atmospheric products such as tropospheric and ionospheric delay corrections, the PPP-RTK (real-time kinematic) method was proposed to achieve position accuracy at the centimeter-level with an initialization time of 1 min or better [7][8][9]. In addition, we can also spend tens of minutes waiting for RT-PPP to complete the first initialization.…”

Section: Introductionmentioning

confidence: 99%

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Continuity Enhancement Method for Real-Time PPP Based on Zero-Baseline Constraint of Multi-Receiver

Yang

Zheng

et al. 2021

Remote Sensing

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Continuity is one of the metrics that characterize the required navigation performance of global navigation satellite system (GNSS)-based applications. Data outage due to receiver failure is one of the reasons for continuity loss. Although a multi-receiver configuration can maintain position solutions in case a receiver has data outage, the initialization of the receiver will also cause continuous high-precision positioning performance loss. To maintain continuous high-precision positioning performance of real-time precise point positioning (RT-PPP), we proposed a continuity enhancement method for RT-PPP based on zero-baseline constraint of multi-receiver. On the one hand, the mean time to repair (MTTR) of the multi-receiver configuration is improved to maintain continuous position solutions. On the other hand, the zero-baseline constraint of multi-receiver including between-satellite single-differenced (BSSD) ambiguities, zenith troposphere wet delay (ZWD), and their suitable stochastic models are constructed to achieve instantaneous initialization of back-up receiver. Through static and kinematic experiments based on real data, the effectiveness and robustness of proposed method are evaluated comprehensively. The experiment results show that the relationship including BSSD ambiguities and ZWD between receivers can be determined reliably based on zero-baseline constraint, and the instantaneous initialization can be achieved without high-precision positioning continuity loss in the multi-receiver RT-PPP processing.

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Section: Instantaneous Initialization With Zero-baseline Constraint Omentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Continuity Enhancement Method for Real-Time PPP Based on Zero-Baseline Constraint of Multi-Receiver

Yang

Zheng

et al. 2021

Remote Sensing

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“…The data quality is analyzed according to the main test indexes. The data integrity rate, MP1, MP2 and cycle to trip ratio analysis results of the total 24-hour original observation data from March 27 to 28, 2019 of measurement receiver produced by Zhong Haida was shown in Table 1.The values of MP1 and MP2 were calculated according to the Equation (11) and Equation (12) respectively. It could be seen from Table 1 that the data quality of the four satellite systems obtained by the receiver has reached the reference value, and the data quality of BDS was slightly better than that of GPS.…”

Section: A Experiments Of Bds Data Quality Analysismentioning

confidence: 99%

“…Li et al [8] analyzed the relationship between the three models, and the equivalence of the undifferenced and uncombined model and the UofC model from a fixed angle of ambiguity was proved, and they were all superior to the combined ionospheric model. In terms of ambiguity fixation, Shi [9], Ge [10], Chen [11] and Aggrey [12] carried out comprehensive analysis from the aspects of principle derivation, data verification, influencing factors and convergence time.…”

Section: Introductionmentioning

confidence: 99%

BDS PPP/INS Tight Coupling Method Based on Non-Holonomic Constraint and Zero Velocity Update

Sun

Yang

2020

IEEE Access

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According to the problem that the positioning error increased with the increase of navigation time in the environment of complete lack of satellite signals such as viaduct and tunnel, the precise point positioning (PPP) / inertial navigation system (INS) tight coupled continuous positioning with nonholonomic constraint (NHC) and zero velocity update (ZUPT) in BeiDou navigation satellite system (BDS) was proposed. Firstly, the ionospheric composite model was analyzed from the aspects of observation equation, parameter estimation, fuzziness, degree of freedom and noise. The BDS PPP dynamic positioning model of ionospheric composite was established, and the errors that affect the positioning accuracy and convergence rate were analyzed. According to the motion characteristics of land vehicles, a scheme of velocity NHC was proposed to limit the accumulation of system positioning error with time, and ZUPT was used to increase the navigation accuracy of the integrated system when the vehicle was in the static state at the traffic light. The experimental results showed that the horizontal positioning accuracy of converged BDS PPP was better than 5 cm, the vertical positioning accuracy was better than 10 cm, and the dynamic positioning results are different from the high-precision real-time kinematic (RTK) / INS integrated navigation results by centimeters. The positioning accuracy of the system could be effectively improved by the BDS PPP/INS tight coupling method of NHC+ZUPT. Compared with the PPP/INS tight coupled positioning results without any constraints, the accuracy of the method in the three directions of East, North, and Up was increased by 0.08 m, 0.02 m and 0.01 m respectively. INDEX TERMS BeiDou precise point positioning, velocity non-holonomic constraint, zero velocity update, tight coupled navigation Wei Sun, male, born in 1984, is currently a professor of the College of Geomatics, a tutor of doctor's degree students. His research direction is inertial and integrated navigation. Yihan Yang, female, born in 1994, is a PHD student of Liaoning Technical University. Her research direction is inertial and magnetic multisource integrated navigation.

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“…In addition, the RTK positioning accuracy decreases as the distance increases, which then prevents the long-distance navigation application. Compared with the SPP and RTK modes, the precise point positioning (PPP) technology can achieve centimeter-level kinematic positioning accuracy by utilizing a single receiver and high-precision orbit/clock products without any restriction of a base receiver and the distance [18,19,20,21,22].…”

Section: Introductionmentioning

confidence: 99%

Reducing the Effect of Positioning Errors on Kinematic Raw Doppler (RD) Velocity Estimation Using BDS-2 Precise Point Positioning

Duan

Sun

Ouyang

et al. 2019

Sensors

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In the traditional raw Doppler (RD) velocity estimation method, the positioning error of the pseudorange-based global navigation satellite system (GNSS) single point positioning (SPP) solution affects the accuracy of the velocity estimation through the station-satellite unit cosine vector. To eliminate the effect of positioning errors, this paper proposes a carrier-phase-based second generation of the BeiDou navigation satellite system (BDS-2) precise point positioning (PPP) RD velocity estimation method. Compared with the SPP positioning accuracy of tens of meters, the BDS-2 kinematic PPP positioning accuracy is significantly improved to the dm level. In order to verify the reliability and applicability of the developed method, three dedicated tests, the vehicle-borne, ship-borne and air-borne platforms, were conducted. In the vehicle-borne experiment, the GNSS and inertial navigation system (INS)-integrated velocity solution was chosen as the reference. The velocity accuracy of the BDS-2 PPP RD method was better than that of SPP RD by 28.4%, 27.1% and 26.1% in the east, north and up directions, respectively. In the ship-borne and air-borne experiments, the BDS-2 PPP RD velocity accuracy was improved by 17.4%, 21.4%, 17.8%, and 38.1%, 17.6%, 17.5% in the same three directions, respectively, compared with the BDS-2 SPP RD solutions. The reference in these two tests is the real-time kinematic (RTK) Position Derivation (PD)-based velocity.

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Improving GNSS PPP Convergence: The Case of Atmospheric-Constrained, Multi-GNSS PPP-AR

Cited by 33 publications

References 22 publications

Continuity Enhancement Method for Real-Time PPP Based on Zero-Baseline Constraint of Multi-Receiver

Continuity Enhancement Method for Real-Time PPP Based on Zero-Baseline Constraint of Multi-Receiver

BDS PPP/INS Tight Coupling Method Based on Non-Holonomic Constraint and Zero Velocity Update

Reducing the Effect of Positioning Errors on Kinematic Raw Doppler (RD) Velocity Estimation Using BDS-2 Precise Point Positioning

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