High-precision time synchronization of kinematic navigation system using GNSS RTK differential carrier phase time transfer

Xia, Xue; Qin, Honglei; Lu, Hui

doi:10.1016/j.measurement.2021.109132

Cited by 12 publications

(4 citation statements)

References 19 publications

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“…where r is the station number, s is the satellite number, i is the satellite frequency number; P s r,i is the original undifferenced pseudorange observations in meters; b r,i is receiver pseudorange hardware delay; b s i is satellite pseudorange hardware delay; Φ s r,i is the original undifferenced carrier phase observations in meters; λ i is carrier wavelength of frequency i; ρ s r is the satellite geometric distance; c is the speed of light in vacuum; dt s is the satellite clock difference; dt r is the clock difference between the satellite and receiver; I s r,i is the ionospheric delay; T s r is the tropospheric delay; δ r,i is receiver carrier phase hardware delay; δ s i is satellite carrier phase hardware delay; N s r,i is the ambiguity of frequency i; ε s r,i,P and ε s r,i,Φ are the random errors of pseudorange and carrier phase observations. To construct the GNSS single-difference equation, we introduce the single-difference operator ∆( * ) AB = ( * ) B − ( * ) A [15]. This allows us to express the single-difference equations as follows:…”

Section: Gnss-rtsd Time Synchronizationmentioning

confidence: 99%

Evaluation of receiver calibration based on clock-steering for time–frequency transfer

Guo,

Chen,

Gong

et al. 2023

Meas. Sci. Technol.

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Calibrating the Global Navigation Satellite System (GNSS) time-frequency transfer system is crucial for accurate GNSS time-frequency transfer. The most commonly used relative calibration method relies on the common-clock to eliminate clock differences. However, it cannot eliminate the changes in clock signal reference point delay (REFDLY). The changes in REFDLY during calibration could not be ignored, especially for ordinary users in an unstable environment. To address this issue, we use the GNSS real-time single-difference (GNSS-RTSD) time synchronization calibration based on clock-steering, which can detect the change in REFDLY. According to this method, the clock differences and REFDLY are eliminated simultaneously. We installed two GNSS antennas on the roof of the Xinghu Building of Wuhan University and designed a clock synchronization terminal to evaluate the performance of this method. The data were collected on Day Of Year (DOY) 152~156, 167~171, 222~226, 231~235, 244, 258, 260, and 262 in 2022. In accordance with the calibration results, the standard deviation better than 100ps, and the stability reaches 10^{-15}@10000s. Also, the time variance better than 60ps, and the uncertainty u_{CAL} better than 0.5 ns. Compared to the common-clock calibration, one of the most significant benefits is the elimination of REFDLY, which leads to decreased uncertainty and better stability over both the short-term and long-term.

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Section: Gnss-rtsd Time Synchronizationmentioning

confidence: 99%

Evaluation of receiver calibration based on clock-steering for time–frequency transfer

Guo,

Chen,

Gong

et al. 2023

Meas. Sci. Technol.

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“…This system's development draws from insights from prior research studies, as documented by Cobb et al (2019). The RTK coding utilized in this system is informed by research advancements and seamlessly integrates with WebGIS to perform risk analysis for potential meter damage, as described by Xue (2021).…”

Section: Smartphone and Low-costmentioning

confidence: 99%

Survey Application Using GNSS F9R and WebGIS

Cahyadi,

Handayani,

Raharjo

et al. 2023

Preprint

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The expanding population in Surabaya, Indonesia, motivates the local water supply entity, Surya Sembada Surabaya's Local Water Supply Utility, to uphold the expected level of service concerning asset management. PDAM already employs a smartphone-based Global Navigation System (GNSS) for recording meter positions and water usage to manage their asset inventory, albeit with suboptimal position accuracy. The utilization of Geodetic GNSS is seen as less effective due to its considerable size and associated high expenses.

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“…This can be achieved by introducing relatively simple algorithms into the on-board computers, making it a versatile tool for a range of applications. The potential applications are diverse, encompassing tasks that span from the precise determination of time [42,25,39,44] to the calculation of the orientation of various types of vehicles (including non-aerial ones) [29,30,2,4,5,6,45]. The ability to accurately determine the orientation of vehicles has significant implications for numerous industries, such as aviation, maritime, automotive, and even space exploration.…”

Section: Introductionmentioning

confidence: 99%

Neural Network-Based Ambiguity Resolution for Precise Attitude Estimation with GNSS Sensors

de Celis,

Solano-Lopez,

Barroso

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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Accurate navigation and control of aerial vehicles necessitate precise estimations of both position and attitude. Measuring an aircraft's rotation entails comparing vectors in distinct reference frames, typically involving inertial and body axes. Traditionally, a GNSS sensor-based matrix, comprising a minimum of three sensors, is employed for this purpose, leveraging carrier phase measurements. Nevertheless, challenges like multipath interference, frequency lock loss, cycle slips, and significant clock drifts can impede the accurate resolution of integer ambiguities.To tackle these issues, a neural network-based approach has been developed to enhance the management of extensive data and bolster the reliability of carrier phase ambiguity resolution. By harnessing carrier phase differences and pseudorange information, diverse neural network configurations can be trained to resolve ambiguities and estimate the precise attitude of the GNSS sensor matrix. This solution can be deployed either in isolation or in conjunction with other attitude sensors, such as gyroscopic data, to enhance overall accuracy.

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High-precision time synchronization of kinematic navigation system using GNSS RTK differential carrier phase time transfer

Cited by 12 publications

References 19 publications

Evaluation of receiver calibration based on clock-steering for time–frequency transfer

Evaluation of receiver calibration based on clock-steering for time–frequency transfer

Survey Application Using GNSS F9R and WebGIS

Neural Network-Based Ambiguity Resolution for Precise Attitude Estimation with GNSS Sensors

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