Between-satellite single-difference integer ambiguity resolution in GPS/GNSS network solutions

Ruan, Rengui; Wei, Ziqing

doi:10.1007/s00190-019-01251-z

Cited by 14 publications

(4 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(2014) reported that UD‐IAR was five times faster than DD‐IAR for a network of 460 stations. Ruan and Wei (2019) confirmed that the mean computation time was reduced by 61% based on UD‐IAR in comparison to DD‐IAR for a network of 130 stations.…”

Section: Introductionmentioning

confidence: 88%

“…However, their discrepancies in terms of precisions and efficiencies were reported in a number of studies for satellite orbit determination and ground station positioning. Ruan and Wei (2019) found that the ambiguity fixing rate of UD‐IAR could surpass that of DD‐IAR by three percentage points and thus the GPS orbit precision was probably improved by 0.1 mm on average. Chen et al.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Massive GNSS Network Analysis Without Baselines: Undifferenced Ambiguity Resolution

Geng

Mao

2021

JGR Solid Earth

View full text Add to dashboard Cite

High-precision Global Navigation Satellite System (GNSS) positioning is important to geodesy and geophysics. The establishment and maintenance of a global reference frame require reliable GNSS network solutions . Along with very long baseline interferometry, satellite laser ranging and Doppler Orbitography and Radiopositioning Integrated by Satellite, GNSS has been playing a fundamental role in the elaboration of International Terrestrial Reference Frames (ITRF). GNSS has also cast new insights into the geophysical phenomena, such as plate tectonics, slow slip events, and surface mass redistribution (e.g., Freymueller et al., 2008;Herring et al., 2016; Nishimura et al., 2013 among others). In those applications, GNSS carrier-phase observations are essential to providing the highest positioning precision. However, carrier-phase data are biased by an unknown number of integer cycles termed as "ambiguities," which have to be estimated alongside other geodetic parameters of interest. It is expected that resolving

show abstract

Section: Introductionmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Massive GNSS Network Analysis Without Baselines: Undifferenced Ambiguity Resolution

Geng

Mao

2021

JGR Solid Earth

View full text Add to dashboard Cite

show abstract

“…Without losing generality, ionosphere-free carrier phase L i r and pseudorange P i r of satellite i observed by station (receiver) r at the time t k can be expressed as where k is the observation epoch; τ i r is the propagation time of signal from satellite i to station r ; R r is the instantaneous position of the station at the receiving time; θ r,k = δ r,k + b r and θ i k = δ i k − b i are the estimable clock parameters for the station and the satellite, i.e., superposition of the clock offset ( δ r,k and δ i k ) and the ionosphere free combination of hardware group delay ( b r and b i ); a i r is the ionosphere-free phase ambiguity parameter, including the hardware phase and group delays; T i r is the troposphere delay; ε and ξ are measuring errors of carrier phase and pseudorange measurements, respectively [21]. Equation (2) omits the correction terms of relativistic delay, phase wind-up effect and antenna phase centre offsets of the satellite and the station.…”

Section: Observation Equation For Pseudoranges and Phases At Monitorimentioning

confidence: 99%

Orbit determination and time synchronization for BDS-3 satellites with raw inter-satellite link ranging observations

et al. 2020

Self Cite

View full text Add to dashboard Cite

To provide competitive global positioning and timing services under the condition that monitoring stations are confined to Chinese territory, inter-satellite link (ISL) technology is used by the third-generation BeiDou Navigation Satellite System (BDS-3). The ISL, together with the dual one-way links between satellites and anchor stations, may enable autonomous navigation for BDS-3. In this paper, we propose a general observation model for orbit determination (OD) and time synchronization (TS) directly using non-simultaneous observations, such as raw ISL pseudoranges. With the proposed model, satellite orbits, clocks, and hardware delay biases of ISL equipment can be determined simultaneously by jointly processing inter-satellite one-way pseudorange data and observation data from ground monitoring stations. Moreover, autonomous OD and TS are also achievable with one-way pseudorange data from anchor stations and satellites. Data from eight BDS-3 satellites, two anchor stations, and seven monitoring stations located in China were collected to validate the proposed method. It is shown that by jointly processing data from the ISL and seven monitoring stations, the RMS of overlap orbit differences in radial direction is 0.019 m, the overlap clock difference (95%) is 0.185 ns, and the stability of the estimated hardware delay biases for each satellite is greater than 0.5 ns. Compared with the results obtained with the seven stations, the improvements of orbits in radial direction and clocks are 95.7% and 90.5%, respectively. When the hardware delay biases are fixed to predetermined values, the accuracies of orbits and clocks are further improved. By jointly processing pseudoranges from the satellites and the two anchor stations, the RMS of overlap orbit differences is 0.017 m in the radial direction, and the overlap clock difference (95%) is 0.037 ns. It has also been demonstrated that under the condition of one-way ranging links, the accuracies of orbits and clocks obtained by the above two modes are still significantly better than those obtained by using the data from the monitoring stations alone.

show abstract

“…The BSSD technique has been investigated by a number of researchers using different scenarios, e.g., [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ]. Abd Rabbou and El-Rabbany [ 18 ] developed undifferenced and BSSD ionosphere-free PPP models using multi-GNSS observations.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Triple-Frequency GPS/Galileo Techniques for Precise Static and Kinematic Applications

Rabbou

Abdelazeem

Morsy

2021

Sensors

View full text Add to dashboard Cite

The objective of this research was to develop new precise point positioning (PPP) processing models using triple-frequency GPS/Galileo observations. Different triple-frequency PPP models were developed including undifferenced, between-satellite single-difference (BSSD) and semi-decoupled PPP models. Additionally, a dual-frequency ionosphere-free undifferenced PPP model was developed. The performance of our developed PPP models was evaluated for both static and kinematic applications. To validate the proposed PPP models for static applications, triple-frequency GPS/Galileo observations spanning three successive days from eight globally distributed reference stations were acquired. Then, the observations were processed using the four static PPP solutions. It is found that the 3D positioning accuracy of the triple-frequency semi-decoupled, BSSD and undifferenced PPP models is enhanced after 10 min by about 50, 41 and 29%, respectively, compared with the dual-frequency undifferenced PPP model. After 20 min of processing, improvements in the 3D positioning accuracy by 40, 31 and 21% are obtained for the triple-frequency semi-decoupled, BSSD and undifferenced PPP models, respectively, with respect to the dual-frequency PPP model. The 3D positioning accuracy is also improved after 60 min, compared with the dual-frequency solution, by 40, 40 and 35% for the triple-frequency semi-decoupled, BSSD and undifferenced PPP solutions, respectively. For kinematic application validation, a vehicle trajectory was carried out. The collected triple-frequency GPS/Galileo observations were processed using the four kinematic PPP solutions. It is shown that the triple-frequency semi-decupled, BSSD and undifferenced PPP solutions enhance the 3D positioning accuracy by 31, 23 and 10%, respectively, in comparison with the dual-frequency undifferenced PPP solutions.

show abstract

Between-satellite single-difference integer ambiguity resolution in GPS/GNSS network solutions

Cited by 14 publications

References 19 publications

Massive GNSS Network Analysis Without Baselines: Undifferenced Ambiguity Resolution

Massive GNSS Network Analysis Without Baselines: Undifferenced Ambiguity Resolution

Orbit determination and time synchronization for BDS-3 satellites with raw inter-satellite link ranging observations

Performance Evaluation of Triple-Frequency GPS/Galileo Techniques for Precise Static and Kinematic Applications

Contact Info

Product

Resources

About