Mitigating the impact of ionospheric cycle slips in GNSS observations

Banville, Simon; Langley, Richard B.

doi:10.1007/s00190-012-0604-1

Cited by 78 publications

(58 citation statements)

References 32 publications

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“…Also, the integer least-squares estimation and validation theory were employed to determine the correct number of integer cycle slips. As reported by Banville and Langley (2013), this method can mitigate the impact of disturbances in the ionosphere on dual-frequency CSC.…”

Section: Introductionmentioning

confidence: 78%

“…Also, the HMW combination cannot identify the occurrence of cycle slips when the cycle slips on two frequencies have the same size and same sign. In Banville and Langley (2013), a geometry-based approach using time-differenced observations was suggested for cycle slip detection. Cycle slips exceeding code noise levels are first detected by satellite-by-satellite screening using code observations, with the aim to reduce the possible computational load and improve the robustness of data snooping in the case of multiple phase discontinuities.…”

Section: Methodsmentioning

confidence: 99%

“…The dual-frequency cycle slip correction (CSC) method based on a time-differenced model has been studied by Banville et al (2010), Banville and Langley (2013) and Zhang and Li (2012). In their methods, all observations were processed in an integrated adjustment to estimate the integer cycle slips, ionospheric variations and other parameters.…”

Section: Introductionmentioning

confidence: 99%

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Benefits of the third frequency signal on cycle slip correction

Zhang

2015

GPS Solut

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Cycle slip detection and correction are important issues when carrier phase observations are used in high-precision GNSS data processing and have, therefore, been intensively investigated. Along with the GNSS modernization, the cycle slip correction (CSC) problem has been raised to deal with more signals from multi-frequencies. We extend the geometry-based approach by integrating time-differenced pseudorange and carrier phase observations to estimate the integer number of triple-frequency cycle slips together with the receiver clock offset, ionospheric delay variations and receiver displacements. The Least-squares AMBiguity Decorrelation Adjustment method can be employed. The benefit of the third frequency observation on the cycle slip estimate is first investigated with simulation tests. The results show that adding the third frequency observation can significantly improve the model strength and that a reliable triple-frequency CSC with a theoretical success rate of higher than 99.9 % can still be achieved, even under the condition that the range or ionosphere delay variation is poorly defined. The performance of triple-frequency CSC is validated with real triple-frequency BDS data since all BDS satellites in orbit are transmitting triple-frequency signals. The results show that the fixing rate of CSC can reach 99.1 % in static precise point positioning (PPP) and 98.8 % in the kinematic case. PPP solutions with cycle slip-uncorrected and cycle slip-corrected data sets are compared to validate the correctness of triple-frequency CSC. The standard deviations of the PPP solution in east, north and vertical component, respectively, can be improved by 31.1, 30.7 and 37.6 % for static, and by 42.0, 53.8 and 39.7 % for kinematic after cycle slips are corrected. The performance of dual-and triple-frequency CSC is also compared. Results show that the performance of dual-frequency CSC is slightly worse than that of triple-frequency CSC. These results demonstrate that the performance of CSC can be significantly improved with triple-frequency observations.

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Section: Introductionmentioning

confidence: 78%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Benefits of the third frequency signal on cycle slip correction

Zhang

2015

GPS Solut

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“…This may lead the receiver to momentarily lose carrier synchronization, resulting in either cycle-slips or loss of lock. Unfortunately, the accuracy improvement of modern high-precision receivers is based on the use of carrier phase-based positioning techniques, and so it is extremely sensitive to scintillation perturbations (Jacobsen & Dähnn, 2014;Prikryl et al, 2014;Banville & Langley, 2013, Banville et al, 2010.…”

Section: Introductionmentioning

confidence: 99%

Multi-frequency GNSS robust carrier tracking for ionospheric scintillation mitigation

Vilà‐Valls¹,

Closas²,

Curran³

2017

J. Space Weather Space Clim.

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-Ionospheric scintillation is the physical phenomena affecting radio waves propagating from the space through the ionosphere to earth. The signal distortion induced by scintillation can pose a major threat to some GNSS application. Scintillation is one of the more challenging propagation scenarios, particularly affecting high-precision GNSS receivers which require high quality carrier phase measurements; and safety critical applications which have strict accuracy, availability and integrity requirements. Under ionospheric scintillation conditions, GNSS signals are affected by fast amplitude and phase variations, which can compromise the receiver synchronization. To take into account the underlying correlation among different frequency bands, we propose a new multivariate autoregressive model (MAR) for the multi-frequency ionospheric scintillation process. Multi-frequency GNSS observations and the scintillation MAR are modeled in state-space, allowing independent tracking of both line-of-sight phase variations and complex gain scintillation components. The resulting joint synchronization and scintillation mitigation problem is solved using a robust nonlinear Kalman filter, validated using real multi-frequency scintillation data with encouraging results.

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“…In the capacity of a dual-frequency GPS receiver, Bisnath and Langley, 3) Blewitt, 4) and Gao et al 5,6) have proposed cycle slip detection based on L1 and L2 carrier-phase measurements. Recently, Banville and Langley, 7) Cai et al, 8) and Liu 9) suggested algorithms that are robust in high ionospheric activity. However, only a multiple-frequency receiver can utilize these algorithms.…”

Section: Introductionmentioning

confidence: 99%

Optimal Selection of an Inertial Sensor for Cycle Slip Detection Considering Single-frequency RTK/INS Integrated Navigation

Kim

Song

et al. 2016

Trans. Japan Soc. Aero. S Sci.

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This paper suggests a methodology for the selection of an inertial sensor for cycle slip detection. The satellitedifference and time-difference residual between the predicted and measured carrier phases is defined as the monitoring value for cycle slip detection. The inertial navigation system (INS) position is used to calculate the predicted observation, and its error mainly contributes to the residual. For one cycle slip detection, the monitoring value residual should be smaller than the threshold. Based on this approach, we derive the maximum permissible position estimation error of the INS to detect one cycle slip. An Earth-centered, Earth-fixed (ECEF) frame-based INS is used for the derivations. Then, we formulate the position estimation error as a function of the inertial sensor specifications using suitable assumptions. Using resulting equation, the optimal inertial sensor can be selected based on the required cycle slip detection performance. To verify the process of optimal IMU selection, simulation data is used. The derived position estimation error of the INS is analyzed carefully, and the monitoring value elicited by the INS error is also investigated. As a result, the selected IMU satisfies the designed cycle slip detection performance within the microelectromechanical systems (MEMS) grade.

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Mitigating the impact of ionospheric cycle slips in GNSS observations

Cited by 78 publications

References 32 publications

Benefits of the third frequency signal on cycle slip correction

Benefits of the third frequency signal on cycle slip correction

Multi-frequency GNSS robust carrier tracking for ionospheric scintillation mitigation

Optimal Selection of an Inertial Sensor for Cycle Slip Detection Considering Single-frequency RTK/INS Integrated Navigation

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