Modeling, refinement and evaluation of multipath mitigation based on the hemispherical map in BDS2/BDS3 relative precise positioning

Dong, Yi; Wen, Yuanlan; Luo, Yiran

doi:10.1016/j.measurement.2023.112722

Cited by 12 publications

(3 citation statements)

References 34 publications

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“…Unfortunately, the equality constraints may also fail due to the biased model caused by the unmodeled errors. Here, the unmodeled errors are defined as the measurement errors that cannot be eliminated or easily mitigated by differencing and linear combination, empirical model correction, and proper parameterization, mainly including the colored noise, residual systematic errors, and other special outliers [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Resilient inequality constrained GNSS kinematic precise point positioning considering the terrain topography

Xu,

Zhang,

Wen

et al. 2024

Meas. Sci. Technol.

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In complex environments, signals are inevitably subject to phenomena such as reflection, refraction, diffraction, and obstruction, which result in significant unmodeled errors like colored noise, residual systematic errors, and other special outliers. Consequently, the achievement of high-precise and high-reliable Global Navigation Satellite Systems (GNSS) Precise Point Positioning (PPP) is not a readily solvable problem in complex environments, especially in varying terrain topography. This paper proposed the resilient inequality constrained GNSS kinematic precise point positioning method considering the terrain topography to improve the abnormal positioning results caused by unmodeled errors. Specifically, the proposed method is composed of the adaptive inequality constraint with dynamic penalty function and the timing-varying inequality considering the terrain topography. Two representative experiments including one set of designed data and three sets of daily measured data were conducted. The results show that the proposed method can improve the positioning results resulting from the unmodeled errors while preserving the trend of the original data. Typically, the proposed method decreases the standard deviations by 2.47, 0.25, and 1.46 cm in the U direction of the three real datasets, respectively. Consequently, the proposed method exhibits prospects in precision and reliability for complex environments.

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Section: Introductionmentioning

confidence: 99%

Resilient inequality constrained GNSS kinematic precise point positioning considering the terrain topography

Xu,

Zhang,

Wen

et al. 2024

Meas. Sci. Technol.

Self Cite

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“…Moreover, the multipath error mitigation also can be realized in the multipath hemispherical map (MHM) algorithm [24]. In 2023, Zhang et al [25] showed that, in the relative positioning of the BDS-2 and BDS-3 systems, MHM could effectively correct the multipath error of low-elevation satellites. An exact multipath error extraction is beneficial to its multipath suppression performance.…”

Section: Introductionmentioning

confidence: 99%

An adaptive frequency-based C/N₀-constrained multipath extraction and mitigation method for GNSS pseudorange measurements

Liu,

Li,

Huang

et al. 2024

Meas. Sci. Technol.

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The multipath effect poses an inevitable challenge for Global Navigation Satellite System(GNSS) receivers, particularly pronounced in smart devices, which are nevertheless the most common means through which the general public accesses GNSS positioning. So we propose a novel adaptive method for extracting multipath errors, which fully exploits the multipath frequency characteristics, multipath repeatability, and the correlation between multipath errors and carrier to- -noise ratio (C/N0). This approach aims to enhance the susceptibility of smart devices to multipath influences. Specifically, this method uses the code minus carrier (CMC) method to calculate the noisy multipath error,multipath to constrain the frequency range,exploits the correlation between C/N0 andemploys the ensemble empirical modedecomposition (EEMD) method to decompose the error signal, and utilizes the Hilbert–Huangtransform (HHT) method to obtain the frequency information of the signal component.multipath Inrepeatability, the proposed method can effectively improve the correlation ofmultipath signals by up to 0.79. By applying the extraction method, the positioningperformance of smart devices can be improved by 13.9%. Therefore, the proposed method extracts multipath error more accurately and is highly usable in low-cost devices and real-time applications.

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“…Lu et al discussed the optimal modeling days, applied T-MHM to BDS-3 PPP and evaluated the multipath correction effect simultaneously, and validated the mitigation effect of T-MHM on different grid scales [25,26]. Zhang et al evaluated the multipath mitigation effect of MHM in BDS2/BDS3 real-time kinematic (RTK) [27]. Although this method has a low complexity, it disregards the multipath's spatial distribution within the grid.…”

Section: Introductionmentioning

confidence: 99%

Characterization of BDS Multipath Effect Based on AT-Conv-LSTM Network

Sun,

Tang,

Zhou

et al. 2023

Remote Sensing

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Multipath effects are the most challenging error sources for the Global Navigation Satellite System receiver, affecting observation quality and positioning accuracy. Due to the non-linear and time-varying nature, multipath error is difficult to process. Previous studies used a homogeneous indicator to characterize multipath effects and only revealed the temporal or spatial correlations of the multipath, resulting in limited correction performance. In this study, we consider the code multipath to be influenced not only by the elevation and azimuth angle of certain stations to satellites but also to be related to satellite characteristics such as nadir angle. Hence, azimuth angle, elevation angle, nadir angle and carrier-to-noise power density ratio are taken as multiple indicators to characterize the multipath significantly. Then, we propose an Attention-based Convolutional Long Short-Term Memory (AT-Conv-LSTM) that fully exploits the spatiotemporal correlations of multipath derived from multiple indicators. The main processing procedures using AT-Conv-LSTM are given. Finally, the AT-Conv-LSTM is applied to a station for 16 consecutive days to verify the multipath mitigation effectiveness. Compared with sidereal filtering, multipath hemispherical map (MHM) and trend-surface analysis-based MHM, the experimental results show that using AT-Conv-LSTM can decrease the root mean square error and mean absolute error values of the multipath error more than 60% and 13%, respectively. The proposed method can correct the code multipath to centimeter level, which is one order of magnitude lower than the uncorrected code multipath. Therefore, the proposed AT-Conv-LSTM network could be used as a powerful alternative tool to realize multipath reduction and will be of wide practical value in the fields of standard and high-precision positioning services.

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Modeling, refinement and evaluation of multipath mitigation based on the hemispherical map in BDS2/BDS3 relative precise positioning

Cited by 12 publications

References 34 publications

Resilient inequality constrained GNSS kinematic precise point positioning considering the terrain topography

Resilient inequality constrained GNSS kinematic precise point positioning considering the terrain topography

An adaptive frequency-based C/N₀-constrained multipath extraction and mitigation method for GNSS pseudorange measurements

Characterization of BDS Multipath Effect Based on AT-Conv-LSTM Network

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Modeling, refinement and evaluation of multipath mitigation based on the hemispherical map in BDS2/BDS3 relative precise positioning

Cited by 12 publications

References 34 publications

Resilient inequality constrained GNSS kinematic precise point positioning considering the terrain topography

Resilient inequality constrained GNSS kinematic precise point positioning considering the terrain topography

An adaptive frequency-based C/N0-constrained multipath extraction and mitigation method for GNSS pseudorange measurements

Characterization of BDS Multipath Effect Based on AT-Conv-LSTM Network

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An adaptive frequency-based C/N₀-constrained multipath extraction and mitigation method for GNSS pseudorange measurements