Zero‐baseline Analysis of GPS/BeiDou/Galileo Between‐Receiver Differential Code Biases (BR‐DCBs): Time‐wise Retrieval and Preliminary Characterization

Zhang, B.; Teunissen, Peter

doi:10.1002/navi.132

Cited by 16 publications

(9 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then, the changed GPS observables, including the receiver DCBs known a priori, could be obtained. Second, based on [29], we designed zero-and short-baseline experiments to eliminate errors due to ionospheric delays and satellite DCBs, making it possible to retrieve a BR-DCB time series for use as the reference for the single-receiver DCB estimates obtained using the proposed approach. To verify the effectiveness of the proposed method, we modified the code observation by adding the DCB variation simulated from three types of mathematical representations.…”

Section: Validation Of Epoch-wise Receiver Dcb Estimates Based On Sim...mentioning

confidence: 99%

“…In Figure 2, the BR-DCBs are plotted for three baselines, namely, DLFT-DLF4, DLFT-DLF5 and DLF4-DLF5, on day 172 in 2010. The red lines depict the BR-DCB estimates obtained using the SD-GF method [29]. The blue lines depict the same parameters computed with the single-receiver DCB estimates using the MCCL plus datum method.…”

Section: Validation Of Epoch-wise Receiver Dcb Estimates Based On Sim...mentioning

confidence: 99%

“…In the second group of studies, this modeling error analysis can be avoided, because the dependence on the ionospheric modeling process is completely eliminated. These studies assessed the short-term variations in receiver DCBs directly on the basis of between-receiver differences in ionospheric observables or code-only geometry-free observables collected by two collocated receivers with a zero-or short-baseline setup [18,29]. Since most common source of biases can be largely eliminated in a zero-or short-baseline setup, the between-receiver DCBs (BR-DCBs) can be obtained epoch by epoch.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Epoch-Wise Estimation and Analysis of GNSS Receiver DCB under High and Low Solar Activity Conditions

et al. 2023

View full text Add to dashboard Cite

Differential code bias (DCB) is one of the main errors involved in ionospheric total electron content (TEC) retrieval using a global navigation satellite system (GNSS). It is typically assumed to be constant over time. However, this assumption is not always valid because receiver DCBs have long been known to exhibit apparent intraday variations. In this paper, a combined method is introduced to estimate the epoch-wise receiver DCB, which is divided into two parts: the receiver DCB at the initial epoch and its change with respect to the initial value. In the study, this method was proved feasible by subsequent experiments and was applied to analyze the possible reason for the intraday receiver DCB characteristics of 200 International GNSS Service (IGS) stations in 2014 (high solar activity) and 2017 (low solar activity). The results show that the proportion of intraday receiver DCB stability less than 1 ns increased from 72.5% in 2014 to 87% in 2017, mainly owing to the replacement of the receiver hardware in stations. Meanwhile, the intraday receiver DCB estimates in summer generally exhibited more instability than those in other seasons. Although more than 90% of the stations maintained an intraday receiver DCB stability within 2 ns, substantial variations with a peak-to-peak range of 5.78 ns were detected for certain stations, yielding an impact of almost 13.84 TECU on the TEC estimates. Moreover, the intraday variability of the receiver DCBs is related to the receiver environment temperature. Their correlation coefficient (greater than 0.5 in our analyzed case) increases with the temperature. By contrast, the receiver firmware version does not exert a great impact on the intraday variation characteristics of the receiver DCB in this case.

show abstract

Section: Validation Of Epoch-wise Receiver Dcb Estimates Based On Sim...mentioning

confidence: 99%

Section: Validation Of Epoch-wise Receiver Dcb Estimates Based On Sim...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Epoch-Wise Estimation and Analysis of GNSS Receiver DCB under High and Low Solar Activity Conditions

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Also, this type of delay should be identical for receivers of the same type with the same firmware (Melgard et al, 2013). The digital signal processing inside the receiver, on which the between-receiver DISBs would be dependent, may alter as soon as the firmware upgrade has been done (Zhang and Teunissen, 2016). This means that the receiver firmware upgrade may also impact on DISB values.…”

Section: Influencing Factors Of Phase and Code Disbsmentioning

confidence: 99%

Influencing Factors of GNSS Differential Inter-System Bias and Performance Assessment of Tightly Combined GPS, Galileo, and QZSS Relative Positioning for Short Baseline

Zhang

Liu

et al. 2018

J. Navigation

View full text Add to dashboard Cite

This paper first investigates the influencing factors of between-receiver Differential Inter-System Bias (DISB) between overlapping frequencies of the Global Positioning System (GPS), Galileo and the Quasi-Zenith Satellite System (QZSS). It was found that the receiver reboot and the type of observations may have an impact on DISBs. The impact of receiver firmware upgrades and the activation of anti-multipath filters are also investigated and some new results are presented. Then a performance evaluation is presented of tightly combined relative positioning for a short baseline with GPS/Galileo/QZSS L1-E1-L1/L5-E5a-L5 observations with the current constellations, in which the recently launched Galileo and QZSS satellites will also be included. It is demonstrated that when DISBs are a priori calibrated and corrected, the tightly combined model can deliver a much higher empirical ambiguity resolution success rate and positioning accuracy with respect to the classical loosely combined model, especially under environments where the observed satellites for each system are limited and only single-frequency observations are available. The ambiguity dilution of precision, bootstrapping success rate, and ratio values are analysed to illustrate the benefits of the tightly combined model as well.

show abstract

“…Each portion contains two hours of data and has been, respectively, processed by the new and old methods. We use the TFFS and positioning experiments to evaluate the AR performance [26][27][28][29][30]. In the positioning experiments, we take station HOFN as base station; its precise coordinate comes from weekly solutions.…”

Section: Evaluate the Performance Of Nl Resolutionmentioning

confidence: 99%

A Long Baseline Three Carrier Ambiguity Resolution with a New Ionospheric Constraint

Ning

Yuan

Huang

et al. 2016

IJGI

View full text Add to dashboard Cite

Global navigation satellite sensors can transmit three frequency signals. When the classical three-carrier ambiguity resolution (TCAR) is applied to long baselines of hundreds of kilometres, the narrow-lane integer ambiguity resolution (IAR) is affected by the remaining double-differenced (DD) ionospheric delays. As such, large amounts of observational data are typically needed for successful recovery. To strengthen ionospheric delays, we analysed the combination of three frequency signals and a new ambiguity-free ionospheric combination where the least amount of noise is defined, which is enhanced with epoch-differenced ionospheric delays to provide better absolute ionospheric delay and temporal change. To optimize ionosphere estimations, we propose defining the optimal smoothing length, and also propose a strategy to diagnose wrongly determined ionospheric estimations. With such ionospheric information, we can obtain the ionosphere-weighted model by incorporating the ionospheric information to the geometry-based model and use the real triple-frequency observations to evaluate our method. Our results show that the precision of ionospheric estimations from our new ionospheric model is 25% higher than that from the current combination method and that it can provide real-time smoothed ionospheric delay with magnitudes defined to the nearest centimetre. Additionally, using ionospheric estimation as a constraint, the ionosphere-weighted model requires 20% less time to generate the first-fixed solution (TFFS) than the geometry-based model.

show abstract

Zero‐baseline Analysis of GPS/BeiDou/Galileo Between‐Receiver Differential Code Biases (BR‐DCBs): Time‐wise Retrieval and Preliminary Characterization

Cited by 16 publications

References 37 publications

Epoch-Wise Estimation and Analysis of GNSS Receiver DCB under High and Low Solar Activity Conditions

Epoch-Wise Estimation and Analysis of GNSS Receiver DCB under High and Low Solar Activity Conditions

Influencing Factors of GNSS Differential Inter-System Bias and Performance Assessment of Tightly Combined GPS, Galileo, and QZSS Relative Positioning for Short Baseline

A Long Baseline Three Carrier Ambiguity Resolution with a New Ionospheric Constraint

Contact Info

Product

Resources

About