SNR-Dependent Environmental Model: Application in Real-Time GNSS Landslide Monitoring

Han, Junqiang; Tu, Rui; Zhang, Rui; Fan, Lihong; Zhang, Pengfei

doi:10.3390/s19225017

Cited by 11 publications

(5 citation statements)

References 28 publications

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“…where 𝑈𝐸𝑅𝐸 is the user equivalent distance measurement error, which is the residual error on the user ranging signal and is determined by the user distance error (URE) and user equipment error (UEE) of the spatial signal [13]. A 𝑆𝐼𝐺𝑀𝐴 − 𝜀 model of satellite signal-to-noise ratio (𝑆𝑁𝑅) and satellite pseudorange measurement error was proposed in the literature [14] as:…”

Section: Confidence Study Of Gnss System Position Estimationmentioning

confidence: 99%

Indoor and outdoor seamless positioning algorithm based on UWB/GNSS

Wang

2023

Preprint

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This paper proposes a positioning mode switching algorithm for positioning tags based on the joint system confidence and motion trend. The algorithm is based on establishing the position estimation confidence of the UWB/GNSS system and the confidence fusion seamless positioning algorithm of particle filtering, which uses a combination of hard and soft switching to achieve seamless positioning. Through the experiment, the positioning accuracy of the positioning tag is measured to be 50.6cm and 56.4cm in the indoor area and the stationary state in the mixed area, with the standard deviation less than 32cm and less than 36cm, respectively; the walking trajectory is stable and clear in the indoor and outdoor dynamic test, and the positioning switching effect is obvious.

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Section: Confidence Study Of Gnss System Position Estimationmentioning

confidence: 99%

Indoor and outdoor seamless positioning algorithm based on UWB/GNSS

Wang

2023

Preprint

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“…Lau and Cross (2005) described a multipath mitigation technique that uses SNR to estimate phase errors in measurements contaminated by multipath, and these estimates are applied for real-time correction before data processing. The approach proposed by Han et al (2019), involving an SNR-dependent environment model in real-time GNSS landslide monitoring, when compared with the results of the classical model, could signi cantly improve precision at the millimeter level and reduce convergence time to a few seconds, ensuring continuous and reliable positioning results.…”

Section: Introductionmentioning

confidence: 99%

Time-frequency analysis of differences between coordinates of three permanent GNSS stations in Krakow

Kosek,

Siejka

2023

Reports on Geodesy and Geoinformatics

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This paper applies time-frequency analysis to a 3-day time series with a sampling interval of 1 second of the changes in E, N and H coordinates of three permanent GNSS stations: WRON, KR10, and KRUR in Krakow, as well as differences between them. Time-frequency analysis was conducted using a Fourier transform band-pass filter, which separates time series into frequency components. By analyzing the differences between these coordinates, it was observed that the WRON station shows a systematic error in the form of a regular wideband oscillation with a period of 75 minutes, whose amplitude varies from approximately 1 to 3 mm with a period of about 1 day. In the horizontal plane, this oscillation takes the shape of a ˚attened ellipse with a semi-major axis oriented in the northwest direction. The most probable cause of this regular oscillation is the day-to-day variability of the multipath signal environment.

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“…Unmodeled errors, such as multipath and NLOS errors, cannot be eliminated or mitigated easily by differencing and linear combination, model correction, and so forth [21,22]. Therefore, some more realistic stochastic models have been established, such as various simple combinations of elevation, azimuth, and C/N 0 [21,23,24]. These models all have improved effects and are better than traditional models.…”

Section: Introductionmentioning

confidence: 99%

An elevation stochastic model constrained by C/N₀ for GNSS real-time kinematic positioning in harsh environments

Li¹,

He²,

Yuan³

et al. 2022

Meas. Sci. Technol.

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When the Global Navigation Satellite System (GNSS) is used for positioning in harsh environments with high occlusion and strong reflection, the signals are easily reflected, diffracted, or even blocked, which can lead to multipath and non-line-of-sight (NLOS). Aiming at the problem that the existing stochastic models do not fully consider the significant unmodeled errors such as multipath and NLOS in specific scenarios such as canyons, this paper systematically establishes the carrier-to-noise ratio (C/N0) template functions of the low-cost receiver for the first time and proposes an elevation stochastic model constrained by C/N0 (elevation-C/N0 model) by combining the two indicators (elevation angle and C/N0) with the idea of robust estimation. Then, real-time kinematic positioning (RTK) experiments are conducted to verify the effectiveness of the new model, and both static monitoring and urban kinematic situations are included. The results showed that: (1) In the static data, the average ambiguity fixed rate of the elevation-C/N0 model is 95.79%, which is 10.05%, 15.74%, and 12.57% higher than the one of equal-weight, elevation-based, and C/N0-based stochastic models, respectively. At the same time, only the new model consistently meets centimeter-level accuracy requirements in harsh environments. (2) In the kinematic data, compared with the three traditional stochastic models, the ambiguity fixed rate of the elevation-C/N0 stochastic model is increased by 58.33%, 19.79%, and 28.13%, respectively. And the motion trajectory calculated by the elevation-C/N0 model is the smoothest. In conclusion, compared with the traditional stochastic models, the elevation-C/N0 stochastic model is more applicable both in static and kinematic measurements in harsh environments, it can effectively mitigate the adverse effects of errors such as multipath and NLOS, increase the ambiguity fixed rate, and improve the positioning reliability to a certain extent, hence the proposed method has better positioning performance.

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SNR-Dependent Environmental Model: Application in Real-Time GNSS Landslide Monitoring

Cited by 11 publications

References 28 publications

Indoor and outdoor seamless positioning algorithm based on UWB/GNSS

Indoor and outdoor seamless positioning algorithm based on UWB/GNSS

Time-frequency analysis of differences between coordinates of three permanent GNSS stations in Krakow

An elevation stochastic model constrained by C/N₀ for GNSS real-time kinematic positioning in harsh environments

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SNR-Dependent Environmental Model: Application in Real-Time GNSS Landslide Monitoring

Cited by 11 publications

References 28 publications

Indoor and outdoor seamless positioning algorithm based on UWB/GNSS

Indoor and outdoor seamless positioning algorithm based on UWB/GNSS

Time-frequency analysis of differences between coordinates of three permanent GNSS stations in Krakow

An elevation stochastic model constrained by C/N0 for GNSS real-time kinematic positioning in harsh environments

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An elevation stochastic model constrained by C/N₀ for GNSS real-time kinematic positioning in harsh environments