Sidereal filtering based on single differences for mitigating GPS multipath effects on short baselines

Zhong, Ping; Ding, Xiaoli; Yuan, Linguo; Xu, You Lin; Kwok, K.C.S.; Chen, Yongqi

doi:10.1007/s00190-009-0352-z

Cited by 112 publications

(58 citation statements)

References 33 publications

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“…Previous studies did not adopt the data of satellites affected by orbit maneuvering in data processing (e.g., [6,9,11,13]). Choi et al [6] and Larson et al [8] used the mean MRT of the adopted satellites to implement sidereal filtering, and the effectiveness of multipath mitigation will get worse if the data of the affected satellites are included in their sidereal filtering.…”

Section: Discussionmentioning

confidence: 99%

“…Based on this time-domain repeatability, Bock et al [3,4] proposed a method named sidereal filtering to mitigate multipath error for static GPS positioning. Sidereal filtering has been well developed and widely applied (e.g., [5][6][7][8][9][10][11][12][13][14][15]). The general principle of sidereal filtering is the construction of a multipath correction model from the residuals of coordinates or observables of the previous day(s), then the correction of the data of the subsequent day(s) by subtracting the corresponding correction value for each epoch.…”

Section: Introductionmentioning

confidence: 99%

“…Then, we compare the performances of the three methods in multipath reduction after ASF corrections. The ASF is a modified sidereal filtering, which corrects the multipath of observables for each satellite with its MRT estimate [11,13].…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Three Methods for Estimating GPS Multipath Repeat Time

Wang

Dong

et al. 2018

Remote Sensing

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Abstract:Sidereal filtering is an effective method for mitigating multipath error in static GPS positioning. Using accurate estimates of multipath repeat time (MRT) in sidereal filtering can further improve the performance of the filter. There are three commonly used methods for estimating the MRT: Orbit Repeat Time Method (ORTM), Aspect Repeat Time Adjustment (ARTA), and Residual Correlation Method (RCM). This study utilizes advanced sidereal filtering (ASF) adopting the MRT estimates derived by the three methods to mitigate the multipath in observation domain, then evaluates the three methods in term of multipath reduction in both coordinate and observation domain. Normally, the differences between the MRT estimates from the three methods are less than 1.2 s on average. The three methods are basically identical in multipath reduction, with RCM being slightly better than the other two methods, whereas for a satellite affected by orbit maneuver (satellite number 13 in this study), the MRT estimated by the three methods differ by up to tens of seconds, and the RCM-and ARTA-derived MRT estimates are better than ORTM-derived ones for ASF multipath reduction. The RCM shows a slight advantage in multipath mitigation, while ORTM is the one of lowest computation and ARTA is the optimal one for real-time ASF. Thus, the best MRT estimation method for practical applications depends on which criterion overweighs the others.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of Three Methods for Estimating GPS Multipath Repeat Time

Wang

Dong

et al. 2018

Remote Sensing

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“…Hence, this type of receiver has wide applications, including attitude determination, ground-based carrier phase wind-up calibration, and phase center variation correction [28,31]. Using such single-differenced observable residuals, we are able to isolate the multipath errors much thoroughly, and to avoid ad-hoc 'zero-mean' assumption [25,26] and un-modeled errors from un-differenced observable residuals [29,30]. Thus the assessment of ASF is more accurate and objective.…”

Section: Introductionmentioning

confidence: 96%

“…Zhong et al [25] and Ye et al [26] constructed 'single-differenced' (between antennas) observable residuals (each relates to a single satellite) from double-differenced observable residuals by introducing an extra constraint, and then constructed multipath models for implementing ASF. Nevertheless, the 'single-differenced' observable residuals they derived were based on the assumption of 'zero mean' (weighted mean of all single-differenced observable residuals at each epoch equals zero) [27] and hence were heavily assumption-dependent [28].…”

Section: Introductionmentioning

confidence: 99%

Advanced Sidereal Filtering for Mitigating Multipath Effects in GNSS Short Baseline Positioning

Wang

Dong

et al. 2018

IJGI

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Advanced sidereal filtering (ASF) is an observation-domain sidereal filtering that adopts the repeat time of each individual satellite separately rather than the mean repeat time, adopted by the modified sidereal filtering (MSF). To evaluate the performance of ASF, we apply the method to filter the multipath for a short baseline based on a dual-antenna Global Navigation Satellite System (GNSS) receiver. The errors from satellite and receiver clocks, satellite orbit, troposphere, ionosphere, and antenna phase center variations are greatly eliminated by single difference between the two antennas because they are connected to the same receiver clock. The performances of ASF are compared with MSF to evaluate the gain for multipath mitigation. Comparisons indicate that ASF slightly outperforms MSF when the repeat time values of all satellites incorporated in data processing are within the normal range (86,145-86,165 s), but the difference of variance reduction rate between ASF and MSF is statistically significant. When the data of a satellite with repeat time outside the normal range are included, the performances of MSF become much worse, but ASF is almost not affected. This advantage of ASF over MSF is important because the proportion of the days on which at least one satellite's repeat time exceeds the normal range reaches 71.19% based on the statistics on the data of 2014 and 2015. After applying ASF multipath corrections on the test days, the averages of standard deviations of north, east, and up component are reduced from 3.8 to 2.1 mm, 3.2 to 1.7 mm, and 7.6 to 4.3 mm, respectively. Comparison between applying ASF with the single-day model and with the seven-day model indicates that the former is generally more effective in multipath reduction.

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The tidal displacement field at Earth's surface determined using global GPS observations

et al. 2013

Self Cite

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[1] We investigate the 3-D tidal displacement field on Earth's surface recorded globally by 456 continuous global positioning system (GPS) stations of IGS spanning 1996-2011, for eight principal diurnal and semidiurnal tidal constituents. In-phase and quadrature amplitudes of the residual tidal displacements, after removal of an a priori body tide model, are estimated using the precise point positioning (PPP) technique on the daily GPS data; the resultant daily estimates are combined to derive final estimates for each tide at each station. The results are compared with the predictions of eight recent global ocean tide models, separately for coastal (307) and inland (149) stations. We show that GPS can provide tidal displacement estimates accurate to the level of 0.12 mm (horizontal) and 0.24 mm (vertical) for the lunar-only constituents (M2, N2, O1, and Q1) and less favorably for solar-related tidal constituents (S2, K2, K1, and P1), although improved by ambiguity resolution. Most recent ocean tide models fit the GPS estimates equally well on the global scale but do not agree well between them in certain coastal areas, especially for the vertical displacements, suggesting the existence of model uncertainties near shallow seas. The tidal residuals for the inland stations after removing both body tides and ocean tidal loading (OTL) furthermore show clear continental-scale spatial coherence, implying deficiencies of the a priori body tide modeling in catching lateral heterogeneity in elastic as well as inelastic properties in the Earth's deep interior. We assert that the GPS tidal displacement estimates now achieve sufficient accuracy to potentially provide constraints on the Earth's structure.

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Sidereal filtering based on single differences for mitigating GPS multipath effects on short baselines

Cited by 112 publications

References 33 publications

Comparison of Three Methods for Estimating GPS Multipath Repeat Time

Comparison of Three Methods for Estimating GPS Multipath Repeat Time

Advanced Sidereal Filtering for Mitigating Multipath Effects in GNSS Short Baseline Positioning

The tidal displacement field at Earth's surface determined using global GPS observations

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