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2022
DOI: 10.1007/s10291-022-01281-9
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A multipath mitigation method in long-range RTK for deformation monitoring

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Cited by 8 publications
(4 citation statements)
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References 23 publications
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“…Han et al [105] used the sidereal filtering method to correct the multipath errors of GNSS landslide deformation monitoring data in the Qinba mountainous area and loess monitoring environment in real time, and the positioning residual accuracy was improved to the millimeter level. Chen et al [106] considered that tropospheric errors and multipath errors exist simultaneously in long-baseline real-time kinematic (RTK) positioning, and corrected tropospheric errors and multipath errors successively by using the undifferenced residuals of satellites. This research provided an effective research strategy for long-baseline, high-precision, real-time dynamic carrier-phase difference technology RTK deformation monitoring.…”
Section: Gnss Deformation Monitoringmentioning
confidence: 99%
“…Han et al [105] used the sidereal filtering method to correct the multipath errors of GNSS landslide deformation monitoring data in the Qinba mountainous area and loess monitoring environment in real time, and the positioning residual accuracy was improved to the millimeter level. Chen et al [106] considered that tropospheric errors and multipath errors exist simultaneously in long-baseline real-time kinematic (RTK) positioning, and corrected tropospheric errors and multipath errors successively by using the undifferenced residuals of satellites. This research provided an effective research strategy for long-baseline, high-precision, real-time dynamic carrier-phase difference technology RTK deformation monitoring.…”
Section: Gnss Deformation Monitoringmentioning
confidence: 99%
“…Establishing observation equations based on the above process, followed by baseline calculation, can maximize the mitigation of multipath effects in carrier phase observations. It is worth mentioning that this method can also be applied to medium-to-long baselines and Network RTK [38]. For example, in Network RTK, accurately calculating the ambiguity, tropospheric delay and ionospheric delay between reference stations can extract multipath errors, establish MHM models to mitigate multipath effects and improve the interpolation accuracy of atmospheric errors.…”
Section: Hemispherical Grid Parameter Fittingmentioning
confidence: 99%
“…To overcome this limitation, relative ionospheric and tropospheric biases must be considered in the functional and stochastic models of RTK. Since ionospheric effects are frequency dependent, the first-order ionospheric errors can be eliminated by using a dual-frequency ionospheric-free (IF) linear combination as a conventional method (Chen et al., 2022). However, fixing the integer ambiguities using the IF combination is difficult, and the noise amplification is higher than in the uncombined model.…”
Section: Introductionmentioning
confidence: 99%