Accuracy assessment of Precise Point Positioning with multi-constellation GNSS data under ionospheric scintillation effects

Marques, Haroldo Antonio; Marques, Heloísa Alves Silva; Aquino, Márcio; Veettil, Sreeja Vadakke

doi:10.1051/swsc/2017043

Cited by 38 publications

(22 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Note that the former two studies are based on the GPS data with simulated cycle-slips and data gaps. Under real losses of lock effects, feasible strategies including avoiding the use of GNSS measurements with successive losses of lock [27] and combining multi-GNSS data to enhance the satellite geometry [51].…”

Section: Discussionmentioning

confidence: 99%

A Strategy to Mitigate the Ionospheric Scintillation Effects on BDS Precise Point Positioning: Cycle-Slip Threshold Model

Luo¹,

Lou²,

Gu³

et al. 2019

Remote Sensing

View full text Add to dashboard Cite

Because of the special design of BeiDou navigation satellite system (BDS) constellation, the effects of ionospheric scintillation on operational BDS generally are more serious than on the global positioning system (GPS). As BDS is currently providing global services, it is increasingly important to seek strategies to mitigate the scintillation effects on BDS navigation and positioning services. In this study, an improved cycle-slip threshold model is proposed to decrease the high false-alarm rate of cycle-slips under scintillation conditions, thus avoiding the frequent unnecessary ambiguity resets in BDS precise point positioning (PPP) solution. We use one-year (from 23 March 2015 to 23 March 2016) BDS dataset from Hong Kong Sha Tin (HKST) station (22.4°N, 114.2°E; geomagnetic latitude: 15.4°N) to model the cycle-slip threshold and try to make it suitable for three types of BDS satellites and multiple scintillation levels. The availability of our mitigation strategy is validated by using three months (from 1 September 2015 to 30 November 2015) BDS dataset collected at 10 global navigation satellite system (GNSS) stations in Hong Kong. Positioning results demonstrate that our mitigated BDS PPP can prevent the sudden fluctuations of positioning errors induced by the ionospheric scintillation. Statistical results of BDS PPP experiments show that the mitigated solution can maintain an accuracy of about 0.08 m and 0.10 m in the horizontal and vertical components, respectively. Compared with standard BDS PPP, the accuracy of mitigated PPP can be improved by approximately 24.1%, 38.2%, and 47.9% in the east, north, and up directions, respectively. Our study demonstrates that considering different scintillation levels to establish appropriate cycle-slip threshold model in PPP processing can efficiently mitigate the ionospheric scintillation effects on BDS PPP.

show abstract

Section: Discussionmentioning

confidence: 99%

A Strategy to Mitigate the Ionospheric Scintillation Effects on BDS Precise Point Positioning: Cycle-Slip Threshold Model

Luo¹,

Lou²,

Gu³

et al. 2019

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Vani et al (2019) described a scintillation mitigation approach consisting of three steps, namely a new functional model to correct the effects of range errors in the observables, a new stochastic model that uses these corrections to assign different precisions for the observables and a strategy to attenuate the effects of losses of lock and consequent ambiguities re-initializations. The use of modernised GPS L2C measurements in GNSS positioning (Marques et al 2016) and using multi-constellation GNSS data (Marques et al 2018) to improve positioning accuracy under scintillation have also been attempted. Although these studies have provided encouraging results, the effectiveness of these approaches depends also on the severity of the scintillation conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Marques et al (2016) pointed out that the use of GPS L2C for PPP can provide improvement in accuracy only under weak scintillation conditions. Even by integrating GPS and GLONASS observations as presented in Marques et al (2018), the RMS of the 3D positioning accuracy under moderate to strong scintillation conditions can still be as poor as 36 cm. Using the approach of Vani et al (2019), the standard deviation of 3D RMS error under strong scintillation conditions reaches about 0.19-0.51 m.…”

Section: Introductionmentioning

confidence: 99%

Mitigation of ionospheric scintillation effects on GNSS precise point positioning (PPP) at low latitudes

Veettil

Aquino

Marques

et al. 2020

J Geod

Self Cite

View full text Add to dashboard Cite

Global navigation satellite systems (GNSS) underpin a number of modern life activities, including applications demanding positioning accuracy at the level of centimetres, such as precision agriculture, offshore operations and mining, to name a few. Precise point positioning (PPP) exploits the precision of the GNSS signal carrier phase measurements and may be used to provide the high accuracy positioning needed by these applications. The Earth's ionosphere is critical in PPP due to its high variability and to disturbances such as scintillation, which can affect the satellite signals propagation and thereby degrade the positioning accuracy, especially at low latitudes, where severe scintillation frequently occurs. This manuscript presents results from a case study carried out at two low latitude stations in Brazil, where a dedicated technique is successfully applied to mitigate the scintillation effects on PPP. The proposed scintillation mitigation technique improves the least square stochastic model used for position computation by assigning satellite and epoch specific weights based on the signal tracking error variances. The study demonstrates that improvements in the 3D positioning error of around 62-75% can be achieved when applying this technique under strong scintillation conditions. The significance of the results lies in the fact that this technique can be incorporated in PPP to achieve the required high accuracy in real time and thus improve the reliability of GNSS positioning in support of high accuracy demanding applications.

show abstract

“…Continuous tracking of the carrier-phase signals ensures that the resolved integer ambiguities remain unchanged. However, carrier-phase measurements often suffer from cycle slips because of sudden change of satellite geometry or under condition of strong atmospheric effects such as for instance ionospheric scintillation [1][2][3], which results in integer ambiguity biased by an unknown integer. The corresponding carrier-phase measurement will also be biased by one to 1 million cycles.…”

Section: Introductionmentioning

confidence: 99%

A New Fuzzy-Cluster-Based Cycle-Slip Detection Method for GPS Single-Frequency Observation

Shi

et al. 2019

Remote Sensing

View full text Add to dashboard Cite

The development of low-cost, small, modular receivers and their application in diverse scenarios with complex data quality has increased the requirements of single-frequency carrier-phase data preprocessing in real time. Different methods have been developed, but successful detection is not always ensured. The issue is crucial for high-precision positioning with Global Positioning System (GPS). Aiming at a high detection rate and low false-alarm rate, we propose a new cycle-slip detection method based on fuzzy-cluster. It consists of two steps. The first is identification of the epoch when cycle slips appear using Chi-square test based on time-differenced observations. The second is identification of the satellite which suffers from cycle slips using the fuzzy-cluster algorithm. To verify the performance of the proposed method, we compared it to a current robust method using real single-frequency data with simulated cycle slips. Results indicate that the proposed method outperforms the robust estimation method, with a higher correct-detection rate and lower undetection rate. As the number of satellites simulated with cycle slips increases, the correct-detection rate rapidly decreases from 100% to below 50% with the robust estimation method. While the correct-detection rate using the proposed method is always more than 60%, even if the number of satellites simulated with cycle slips reaches five. In addition, the proposed method always has a lower undetection rate than the robust estimation method. Simulation showed that when the number of satellites with cycle slips exceeds three, the undetection rate increases to more than 30%, reaching ~70% for the robust estimation method and less than 30% for the proposed method.

show abstract

Accuracy assessment of Precise Point Positioning with multi-constellation GNSS data under ionospheric scintillation effects

Cited by 38 publications

References 38 publications

A Strategy to Mitigate the Ionospheric Scintillation Effects on BDS Precise Point Positioning: Cycle-Slip Threshold Model

A Strategy to Mitigate the Ionospheric Scintillation Effects on BDS Precise Point Positioning: Cycle-Slip Threshold Model

Mitigation of ionospheric scintillation effects on GNSS precise point positioning (PPP) at low latitudes

A New Fuzzy-Cluster-Based Cycle-Slip Detection Method for GPS Single-Frequency Observation

Contact Info

Product

Resources

About