Improved TurboEdit Cycle Slip Detection and Repair Method Based on LM-BP Algorithm

Liang, Lingfeng; Li, Kezhao; Tian, Chendong

doi:10.1007/978-981-19-2576-4_3

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…The paper [8] proposes an altitude angle exponential filtering algorithm based on TurboEdit to detect the cycle slips, and the accuracy is affected by the satellite altitude angle. The ionospheric residual method [9] requires stable ionospheric variation during the sampling interval; TurboEdit method [10] uses a combination of dual-frequency pseudorange, so it is noisy and will not be detected at equivalent cycle slips of more than 6 cycles. And the separate dual-frequency cycle slips detection method cannot separate the cycle slips values generated by the respective frequency points.…”

Section: Introductionmentioning

confidence: 99%

Cycle Slip Detection By Combining TECR And Reconstructed Doppler Integral Method

Jiang,

Cai,

Zhu

2023

HSET

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Poor observation environment and other factors lead to the whole cycle slips of carrier phase observation value, which affects the positioning accuracy. There are detection loopholes in the traditional cycle slips detection methods, especially the small value cycle slips, equivalent cycle slips and special value cycle slips are difficult to detect. A method combining Total Electron Contents Rate (TECR) and Doppler Value Reconstruction is proposed to solve the deficiency of cycle slip detection. Based on Doppler observations and Doppler detection method, the Doppler observations are reconstructed. This method improves the accuracy of Doppler observations. The proposed method has been verified that the reconstructed Doppler observations can improve the detection accuracy of small cycle slips, and can accurately detect any large value, small value of 1 cycle, Both frequency equivalent cycle slips and special value cycle slips can be accurately detected.

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Section: Introductionmentioning

confidence: 99%

Cycle Slip Detection By Combining TECR And Reconstructed Doppler Integral Method

Jiang,

Cai,

Zhu

2023

HSET

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Determination of Optimal Parameters for GPS Cycle Slip Detection Algorithm

Ogaja,

Bilich,

Bennett

2023

Preprint

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Accurate detection of cycle slips is vital for geodetic GNSS-based positioning with carrier phase data, and for the quality control of GNSS data processing for various applications. Typically, cycle slip detection algorithms use certain parameters, such as a scale factor of the root-mean-square (RMS) of residuals of linear combinations and an ionospheric threshold value, to flag potential cycle slips. The performance of an algorithm will depend on the values assigned for such parameters. It is important that the parameter values are optimized such that the algorithm minimizes the rates of both missed slips and false detections. In this paper we evaluate two parameters (a scale factor, k, of Melbourne-Wübbena and ionosphere free residual RMS and an ionospheric residual threshold, h) to determine their optimal values for cycle slip detection. We show that in the worst-case scenario involving only small slips of magnitudes ranging from 1 to 3 cycles, there is an optimal range of values which resulted in 93 to 97% success rate without any false detections. For the data quality considered in this study, we recommend an RMS scale factor of k = 6 and an ionospheric residual threshold of h = 0.3 as the optimal values for the cycle slip detection with at least 97% success rate. In the absence of formal confidence limits, we note that combinations of values in the range of 6 ≤ k ≤ 8 and 0.3 ≤ h ≤ 1.0 resulted in at least 90% success rate with zero false detections, which gives some indication of the sensitivity of the algorithm’s performance to the specific choice of the parameter values.

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Determination of optimal parameters for GPS/GNSS cycle slip detection algorithm

Ogaja,

Bilich,

Bennett

2024

Preprint

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Accurate detection of cycle slips is vital for geodetic GNSS-based positioning with carrier phase data, and for quality control of GNSS data processing for various applications. Typically, cycle slip detection algorithms use certain parameters, such as a scale factor of the root-mean-square (RMS) of residuals of linear combinations and an ionospheric threshold value, to flag potential cycle slips. The performance of an algorithm will depend on the values assigned for such parameters. It is important that the parameter values are optimized such that the algorithm minimizes the rates of both missed slips and false detections. We evaluate two parameters (a scale factor, k, of Hatch-Melbourne-Wübbena and ionosphere-free residual RMS and an ionospheric residual threshold, h) to determine their optimal value for cycle slip detection. We show that in the worst-case scenario involving only small slips of magnitudes ranging from 1 to 3 cycles, there is an optimal range of values which resulted in 93 to 97% success rate without any false detections. For the data quality considered in this study, we recommend an RMS scale factor of k= 6 and an ionospheric residual threshold of h = 0.3 as the optimal values for the cycle slip detection with at least 97% success rate. In the absence of formal confidence limits, we note that combinations of values in the range of 6 ≤ k ≤ 8 and 0.3 ≤ h ≤ 1.0 resulted in at least 90% success rate with zero false detections, which gives some indication of the sensitivity of the algorithm’s performance to the specific choice of the parameter values.

show abstract

Improved TurboEdit Cycle Slip Detection and Repair Method Based on LM-BP Algorithm

Cited by 3 publications

References 7 publications

Cycle Slip Detection By Combining TECR And Reconstructed Doppler Integral Method

Cycle Slip Detection By Combining TECR And Reconstructed Doppler Integral Method

Determination of Optimal Parameters for GPS Cycle Slip Detection Algorithm

Determination of optimal parameters for GPS/GNSS cycle slip detection algorithm

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