2021
DOI: 10.3390/rs13020304
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A Single-Difference Multipath Hemispherical Map for Multipath Mitigation in BDS-2/BDS-3 Short Baseline Positioning

Abstract: The BeiDou Navigation Satellite System (BDS) features a heterogeneous constellation so that it is difficult to mitigate the multipath in the coordinate-domain. Therefore, mitigating the multipath in the observation-domain becomes more important. Sidereal filtering is commonly used for multipath mitigation, which needs to calculate the orbit repeat time of each satellite. However, that poses a computational challenge and damages the integrity at the end of the multipath model. Therefore, this paper proposes a s… Show more

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Cited by 18 publications
(11 citation statements)
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“…By combining and comparing the B1/B3 dual-frequency code multipath [21] before and after repairing, it is established that the formulas are as follows [22,23]:…”
Section: Code Multipath Observationmentioning
confidence: 99%
See 1 more Smart Citation
“…By combining and comparing the B1/B3 dual-frequency code multipath [21] before and after repairing, it is established that the formulas are as follows [22,23]:…”
Section: Code Multipath Observationmentioning
confidence: 99%
“…Figure 4a-c represent the GF combination values of PRN 4, PRN 6 and PRN22, respectively, after the cycle slips were repaired. Figure5a-cshow the MW combination values after the cycle slips were repaired.…”
mentioning
confidence: 99%
“…These methods are mainly used in data postprocessing, which is difficult to apply in real-time positioning. The data processing method also includes the method developed from the time domain repetition period based on the satellite constellation, such as sidereal filtering (SF) [ 9 ] and advanced sidereal filtering (ASF) [ 10 ], this kind of method has difficulties such as large amount of modeling and complicated correction; and the modeling method based on multipath spatial repeatability such as multipath hemispherical map (MHM) [ 11 ], trend surface analysis-based multipath hemispherical map (T-MHM) [ 12 ] and single-difference multipath hemispherical map (SD-MHM) [ 13 ]. In addition, with the development of neural networks and machine learning, there are many new methods to identify line of sight (LOS) and non line of sight (NLOS) signals, including NLOS multipath classification of GNSS signal correlation output using machine learning [ 14 ], machine learning based LOS/NLOS classifier for GNSS shadow matching [ 15 ], neural networks based GPS spoofing detection [ 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…ese errors can be corrected by the existing algorithms [11][12][13]. However, some errors, such as pseudorange multipath delays, have not yet been corrected by an agreed upon method [14,15]. e downlink navigation signals of satellites are transmitted under nonideal conditions, and the surrounding environment has a great influence on the received signals [2].…”
Section: Introductionmentioning
confidence: 99%