Elimination of GNSS carrier phase diffraction error using an obstruction adaptive elevation masks determination method in a harsh observing environment

Xi, Rui; Xu, Dongsheng; Jiang, Weiping; He, Qiyi; Zhou, Xiaohui; Chen, Qusen; Fan, Xiucai

doi:10.1007/s10291-023-01473-x

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…In high-precision positioning of GNSS, the term "single difference" refers to the disparity between carrier phase observations acquired from different stations while synchronously observing the same satellite. By employing a single difference, it becomes possible to eliminate satellite clock discrepancies, and, simultaneously, if the user and reference station are near equal altitudes, approximate zero values can be achieved for the ionospheric delay and tropospheric delay [40]. Consequently, this enables us to formulate the observation equation for carrier phase single difference [41] φ…”

Section: Mathematical Model Of Carrier Phase Double Differencementioning

confidence: 99%

Single-Frequency GNSS Integer Ambiguity Solving Based on Adaptive Genetic Particle Swarm Optimization Algorithm

Guo,

Zhang,

et al. 2023

Sensors

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Carrier phase measurements currently play a crucial role in achieving rapid and highly accurate positioning of global navigation satellite systems (GNSS). Resolving the integer ambiguity correctly is one of the key steps in this process. To address the inefficiency and slow search problem during ambiguity solving, we propose a single-frequency GNSS integer ambiguity solving based on an adaptive genetic particle swarm optimization (AGPSO) algorithm. Initially, we solve for the floating-point solution and its corresponding covariance matrix using the carrier-phase double difference equation. Subsequently, we decorrelate it using the inverse integer Cholesky algorithm. Furthermore, we introduce an improved fitness function to enhance convergence and search performance. Finally, we combine a particle swarm optimization algorithm with adaptive weights to conduct an integer ambiguity search, where each generation selectively undergoes half-random crossover and mutation operations to facilitate escaping local optima. Comparative studies against traditional algorithms and other intelligent algorithms demonstrate that the AGPSO algorithm exhibits faster convergence rates, improved stability in integer ambiguity search results, and in practical experiments the baseline accuracy of the solution is within 0.02 m, which has some application value in the practical situation of short baselines.

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Section: Mathematical Model Of Carrier Phase Double Differencementioning

confidence: 99%

Single-Frequency GNSS Integer Ambiguity Solving Based on Adaptive Genetic Particle Swarm Optimization Algorithm

Guo,

Zhang,

et al. 2023

Sensors

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“…However, despite its ability to eliminate most common errors, the RTK method remains helpless against multipath interference caused by variations in the near-field environment of rover and base stations; actually, multipath errors have already became the primary source of errors in bridge dynamic monitoring [14,37]. Multipath effects occur when the satellite signals received by GNSS antanna are no longer solely direct signals, but rather composite signals formed by the superposition of direct signals and reflected (or refracted) signals excited by multiple reflection sources [33].…”

Section: Introductionmentioning

confidence: 99%

Multipath Effects Mitigation in Offshore Construction Platform GNSS-RTK Displacement Monitoring Using Parallel Temporal Convolution Network

Jiang,

Guo,

Wang

et al. 2024

Preprint

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Global Navigation Satellite System (GNSS), renowned for its high precision and automation, has shone brightly in deformation monitoring of offshore facilities and sea-cross bridges. However, GNSS antennas placed in these locations are often subject to signal interference from various reflective surfaces such as water, which significantly compromises observation accuracy and reliability. Synthesizing previous research, firstly we propose a method for constructing a multipath dataset. This involves detailed mapping of the boundaries of reflective areas in the airspace map, using three types of linear combinations of satellite observations within this area as the multipath dataset, and employing static solution residuals as multipath reference values. Subsequently, we have constructed and trained a corresponding parallel temporal convolution network to enable real-time prediction of multipath, thereby mitigating the impact of multipath on this observation. Through time-frequency domain analysis and correlation analysis, it has been demonstrated that the trained network can capture the main characteristics of multipath and suppress those components within the frequency band corresponding to the multipath, effectively mitigating the interference of multipath errors in observations.

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Elimination of GNSS carrier phase diffraction error using an obstruction adaptive elevation masks determination method in a harsh observing environment

Cited by 2 publications

References 29 publications

Single-Frequency GNSS Integer Ambiguity Solving Based on Adaptive Genetic Particle Swarm Optimization Algorithm

Single-Frequency GNSS Integer Ambiguity Solving Based on Adaptive Genetic Particle Swarm Optimization Algorithm

Multipath Effects Mitigation in Offshore Construction Platform GNSS-RTK Displacement Monitoring Using Parallel Temporal Convolution Network

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