A new triple-frequency cycle slip detecting algorithm validated with BDS data

Huang, Ling; Zhang, Lu; Zhai, Guojun; Ouyang, Yongzhong; Motao, Huang; Lu, Xia; Taiqi, WU; Li, Kaifeng

doi:10.1007/s10291-015-0487-8

Cited by 56 publications

(54 citation statements)

References 18 publications

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“…The cutoff angle of 15 o was selected in order to (i) limit potential cycle slips which are more possible to occur for lower cutoff angle [29], and (ii) obtain GNSS data of better quality than that of low-elevated satellites;…”

Section: Processingmentioning

confidence: 99%

Investigating multi-GNSS performance in the UK and China based on a zero-baseline measurement approach

et al. 2017

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GPS is the positioning tool of choice for a wide variety of applications where accurate (cm level or less) positions are required. However GPS is susceptible to a variety of errors that degrade both the quality of the position solution and the availability of these solutions.The contribution of additional observations from other GNSS systems may improve the quality of the positioning solution. This study investigates the contribution of the GLONASS and BeiDou systems and the potential improvement to the precision achieved compared to positioning using GPS only measurements. Furthermore, it is investigated whether the combination of the satellite systems can limit the noise level of the GPS-only solution. A series of zero-baseline measurements, of 1Hz sampling rate, were recorded with different types of pairs of receivers over 12 consecutive days in the UK and in China simultaneously.The novel part in this study is comparing the simultaneous GNSS real measurements recorded in the UK and China. Moreover, the correlation between the geometry and positional precision was investigated.The results indicate an improvement in a multi-GNSS combined solution compared to the GPS-only solution, especially when the GPS-only solution derives from weak satellite geometry, or the GPS-only solution is not available. Furthermore, all the outliers due to poor satellite coverage with the individual solutions are limited and their precision is improved, agreeing also with the improvement in the mean of the GDOP, i.e. the mean GDOP was improved from 3.0 for the GPS only solution to 1.8 for the combined solution.However, the combined positioning did not show significant positional improvement when GPS has a good geometry and availability.2

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Section: Processingmentioning

confidence: 99%

Investigating multi-GNSS performance in the UK and China based on a zero-baseline measurement approach

et al. 2017

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“…When high ionospheric activity occurs, the sudden changes of the noise level and ionospheric delay can be problematic to the methods developed based on the legacy signals, e.g., high-order phase differencing [9], Doppler integration [10], and some of the latest proposed methods, such as Huang et al [11], de Lacy [12] and Zhao et al [13], as these methods are raised on the basis of the assumption that the ionospheric delay varies smoothly over time. More literature on cycle slip detection is available in Section 2.…”

Section: Introductionmentioning

confidence: 99%

Cycle Slip Detection during High Ionospheric Activities Based on Combined Triple-Frequency GNSS Signals

et al. 2019

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The current cycle slip detection methods of Global Navigation Satellite System (GNSS) were mostly proposed on the basis of assuming the ionospheric delay varying smoothly over time. However, these methods can be invalid during active ionospheric periods, e.g., high Kp index value and scintillations, due to the significant increase of the ionospheric delay. In order to detect cycle slips during high ionospheric activities successfully, this paper proposes a method based on two modified Hatch–Melbourne–Wübbena combinations. The measurement noise in the Hatch–Melbourne–Wübbena combination is minimized by employing the optimally selected combined signals, while the ionospheric delay is detrended using a smoothing technique. The difference between the time-differenced ambiguity of the combined signal and this estimated ionospheric trend is adopted as the detection value, which can be free from ionospheric effect and hold the high precision of the combined signal. Five threshold determination methods are proposed and compared to decide the cycle slip from the magnitude aspect. This proposed method is tested with triple-frequency Global Navigation Satellite System observations collected under high ionospheric activities. Results show that the proposed method can correctly detect and fix cycle slips under disturbed ionosphere.

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“…No BDS data are validated [8,26,27] (1) Mixed code-phase combinations (2) Fix ambiguity by rounding WL ambiguity fixing relies on the resolved EWL ambiguity [3,28] (1) Mixed code-phase combinations (2) Fix ambiguity by rounding no specific discussion of the code coefficients in the combination…”

Section: Referencementioning

confidence: 99%

“…Compared with traditional GNSS systems with dual-frequency signals, triple-frequency measurements can significantly benefit precise satellite-based data processing, such as cycle slip detection [1][2][3], integer ambiguity resolution (AR) [4] for both baseline solutions [5][6][7][8], and precise point positioning (PPP) [9,10]. To alleviate the computational burden, we can select more special linear combinations.…”

Section: Introductionmentioning

confidence: 99%

“…Inevitably, both the above proposed code-phase combinations rely on the HMW combination. Besides, for cycle slip detection, researchers paid more attention on the coefficients of the carrier phase part, and only P1 or a simple average of P1, P2 and P3 was used in the code part of the GF code-phase combination [3,28]. Table 1 gives an overview of some important works related to the optimal combinations, along with their characteristics and limitations.…”

Section: Introductionmentioning

confidence: 99%

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Triple-Frequency Code-Phase Combination Determination: A Comparison with the Hatch-Melbourne-Wübbena Combination Using BDS Signals

et al. 2018

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Considering the influence of the ionosphere, troposphere, and other systematic errors on double-differenced ambiguity resolution (AR), we present an optimal triple-frequency code-phase combination determination method driven by both the model and the real data. The new method makes full use of triple-frequency code measurements (especially the low-noise of the code on the B3 signal) to minimize the total noise level and achieve the largest AR success rate (model-driven) under different ionosphere residual situations (data-driven), thus speeding up the AR by directly rounding. With the triple-frequency Beidou Navigation Satellite System (BDS) data collected at five stations from a continuously-operating reference station network in Guangdong Province of China, different testing scenarios are defined (a medium baseline, whose distance is between 20 km and 50 km; a medium-long baseline, whose distance is between 50 km and 100 km; and a long baseline, whose distance is larger than 100 km). The efficiency of the optimal code-phase combination on the AR success rate was compared with that of the geometry-free and ionosphere-free (GIF) combination and the Hatch-Melbourne-Wübbena (HMW) combination. Results show that the optimal combinations can always achieve better results than the HMW combination with B2 and B3 signals, especially when the satellite elevation angle is larger than 45 • . For the wide-lane AR which aims to obtain decimeter-level kinematic positioning service, the standard deviation (STD) of ambiguity residuals for the suboptimal combination are only about 0.2 cycles, and the AR success rate by directly rounding can be up to 99%. Compared with the HMW combinations using B1 and B2 signals and using B1 and B3 signals, the suboptimal combination achieves the best results in all baselines, with an overall improvement of about 40% and 20%, respectively. Additionally, the STD difference between the optimal and the GIF code-phase combinations decreases as the baseline length increases. This indicates that the GIF combination is more suitable for long baselines. The proposed optimal code-phase combination determination method can be applied to other multi-frequency global navigation satellite systems, such as new-generation BDS, Galileo, and modernized GPS.

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A new triple-frequency cycle slip detecting algorithm validated with BDS data

Cited by 56 publications

References 18 publications

Investigating multi-GNSS performance in the UK and China based on a zero-baseline measurement approach

Investigating multi-GNSS performance in the UK and China based on a zero-baseline measurement approach

Cycle Slip Detection during High Ionospheric Activities Based on Combined Triple-Frequency GNSS Signals

Triple-Frequency Code-Phase Combination Determination: A Comparison with the Hatch-Melbourne-Wübbena Combination Using BDS Signals

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