Kalman-filter-based undifferenced cycle slip estimation in real-time precise point positioning

Pan, Li; Jiang, Xinyuan; Zhang, Xiaohong; Ge, Maorong; Schuh, Harald

doi:10.1007/s10291-019-0894-3

Cited by 21 publications

(18 citation statements)

References 32 publications

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“…  (25) to justify the occurrence of the cycle slip. From (23) and 24, it is the between-epoch difference of carrier phases rather than carrier phases themselves that are directly used to detect cycle slips.…”

Section: Phase-doppler Combination Modelmentioning

confidence: 99%

“…And they can even detect and correct cycle slips as small as 1 cycle. For example, when the cycle slips (0,1,0), (1,1,0), (1,3,3), and (3,3,4) occur, all the differencing values of the three combinations have exceeded the cycle slips detection threshold in (25), while =4 and ( , ,…”

Section: B Cycle Slips Detection and Correction With Case-1mentioning

confidence: 99%

“…However, for the insensitive cycle slips, there will exist one or two differencing values that do not exceed the cycle slip threshold. For example, the differencing value of combination [4,-2,-3] for the cycle slip (2,1,2) is 0.056, which do not satisfy (25). So (2,1,2) can only be detected by combination [-1,-5,6] and combination [-3,6,-2], while it cannot be detect by combination [4,-2,-3].…”

Section: B Cycle Slips Detection and Correction With Case-1mentioning

confidence: 99%

“…Besides, Kalman filter is also used to detect cycle slips. Li et al put forward a novel method based on a Kalman-filter-based procedure with the undifferenced and uncombined precise point positioning (PPP) model [25]. Considering the impact of ionospheric delay, Chang et al developed an adaptive Kalman filter based on variance component estimation to aid the cycle slips detection [26].…”

Section: Introductionmentioning

confidence: 99%

“…Tables II-III can also be smaller in (30). Owing to (25) Table IV shows the optimal ten combinations of the pseudorange-phase combination model. The empirical value of P  and   are 0.3 m and 0.01 cycles.…”

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Cycle Slips Detection for Triple-Frequency Signals of BDS by Combining Carrier Phase and Doppler Measurements

et al. 2020

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A new model is presented to resolve cycle slips detection for triple-frequency observations of BeiDou navigation satellite system (BDS) in this paper when pseudorange observations are missing or insufficiently accurate under harsh or special situations. Based on the first-order time-difference geometryfree (GF) pseudorange-phase combination model, the new cycle slips detection and correction method based on the triple-frequency carrier phase and Doppler observations is proposed. With analyses on the two common sampling intervals (30 s and 1 s), it can be concluded that the optimal combination coefficients of the proposed model relate to sampling intervals. Combinations [4,-2,-3], [-1,-5,6], and [-3,6,-2] are selected to detect and correct cycle slips for 30 s sampling interval, while combinations [0,-1,1], [1,0,-1], and [-3,2,2] are selected for 1 s sampling interval. The validity of the phase-Doppler combination model under the static condition and the steady ionosphere with 30 s sampling interval and 1 s sampling interval is verified by two static experiments. Results show that the phase-Doppler combination model can achieve the same performance as the pseudorange-phase combination model. All the small, insensitive, and large cycle slips added to the three types of BDS satellites which separately belong to Geostationary Earth Orbit (GEO), Inclined Geosynchronous Orbit (IGSO), and Medium Earth Orbit (MEO) are detected and corrected successfully by the proposed model.

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Section: Phase-doppler Combination Modelmentioning

confidence: 99%

Section: B Cycle Slips Detection and Correction With Case-1mentioning

confidence: 99%

Section: B Cycle Slips Detection and Correction With Case-1mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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