An analytical study of PPP-RTK corrections: precision, correlation and user-impact

Khodabandeh, Amir; Teunissen, Peter

doi:10.1007/s00190-015-0838-9

Cited by 76 publications

(37 citation statements)

References 31 publications

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“…PPP can replace double difference for structure monitoring when double difference becomes unavailable on account of natural disasters, and so on . Numerous studies on the applications of post‐processing or real‐time PPP techniques for SHM have been performed with similar results by some other researchers …”

Section: Gnss Kinematic Positioning Modes For Structural Monitoringmentioning

confidence: 83%

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Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Meng

Yan

et al. 2019

Struct Control Health Monit

115

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Summary Global Navigation Satellite System (GNSS) positioning technology has had widespread applications in the structural health monitoring as its overall performance has improved significantly in the last two decades. It is capable of providing timely and accurate structural vibration information such as dynamic displacements and modal frequencies at higher performance than traditional accelerometers. The studies summarized in this paper focus on the improvement of the multi‐sensors and multi‐constellation data acquisition techniques, the improvement of multiple approaches for erroneous noise mitigation, and innovative modal parameter identification methods. We also detailed the applications of GNSS on the deformation monitoring for towers, chimneys, tall buildings, and bridges. With continuous enhancements in the algorithm and hardware of GNSS, it is expected that the application of GNSS technology can be expanded to other fields such as bridge cable‐force measurements and bridge weight‐in‐motion as well as structural deformation monitoring.

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Section: Gnss Kinematic Positioning Modes For Structural Monitoringmentioning

confidence: 83%

“…35 Numerous studies on the applications of post-processing or real-time PPP techniques for SHM have been performed with similar results by some other researchers. [36][37][38][39]…”

Section: Solution Modes Acronym Detailmentioning

confidence: 99%

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Meng

Yan

et al. 2019

Struct Control Health Monit

115

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“…As shown by Khodabandeh and Teunissen (2015), the betweensatellite differences in the network corrections take an active role in user positioning. As a result, for the user positioning, the network products are effective or largely effective at the between-satellite level, if the receiver clocks and hardware biases are unlinked or very weakly linked in time.…”

Section: Network Corrections Without and With Satellite-clock Modelingmentioning

confidence: 99%

Satellite-Clock Modeling in Single-Frequency PPP-RTK Processing

et al. 2018

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The real-time kinematic precise point positioning (PPP-RTK) technique enables integer ambiguity resolution by providing singlereceiver users with information on the satellite phase biases next to the standard PPP corrections. Using undifferenced and uncombined observations, rank deficiencies existing in the design matrix need to be eliminated to form estimable parameters. In this contribution, the estimability of the parameters was studied in single-frequency ionosphere-weighted scenario, given a dynamic satellite-clock model in the network Kalman filter. In case of latency of the network corrections, the estimable satellite clocks, satellite phase biases, and ionospheric delays need to be predicted over short time spans. With and without satellite-clock models incorporated in the network Kalman filter, different approaches were used to predict the network corrections. This contribution shows how the predicted network corrections responded to the presence and absence of satellite-clock models. These differences in the predicted network corrections were also reflected in the user positioning results. Using three different 1-Hz global positioning system (GPS) single-frequency data sets, two user stations in one small-scale network were used to compute the positioning results, applying predicted network corrections. The latency of the network products ranges from 3 to 10 s. It was observed that applying strong satellite-clock constraints in the network Kalman filter (i.e., with the process noise of 1 or 0.5 mm per square root of second) reduced the root-mean squares (RMS) of the user positioning results to centimeters in the horizontal directions and decimeters in the vertical direction for latencies larger than 6 s, compared to the cases without a satellite-clock model. individual papers. This paper is part of the Journal of Surveying Engineering, © ASCE, ISSN 0733-9453. © ASCE 04018003-1 J. Surv. Eng. J. Surv. Eng., 2018, 144(2): 04018003 Downloaded from ascelibrary.org by Technische Universiteit Delft on 03/04/19. Copyright ASCE. For personal use only; all rights reserved. © ASCE 04018003-2 J. Surv. Eng.

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“…Although each single receiver can run its own local filter to deliver GNSS-derived solutions, the precision of such single-receiver solutions is generally much lower than its network-derived counterparts, see e.g. [14,15]. It will be shown, through a CKF setup, that single-receiver parameter solutions can achieve precision performances similar to that of their network-based versions, provided that a sufficient number of iterative communications between the neighboring receivers are established.…”

Section: Introductionmentioning

confidence: 99%

Consensus-Based Distributed Filtering for GNSS

Khodabandeh¹,

Teunissen²,

Zaminpardaz³

2018

Kalman Filters - Theory for Advanced Applications

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Kalman filtering in its distributed information form is reviewed and applied to a network of receivers tracking Global Navigation Satellite Systems (GNSS). We show, by employing consensus-based data-fusion rules between GNSS receivers, how the consensus-based Kalman filter (CKF) of individual receivers can deliver GNSS parameter solutions that have a comparable precision performance as their network-derived, fusion center dependent counterparts. This is relevant as in the near future the proliferation of low-cost receivers will give rise to a significant increase in the number of GNSS users. With the CKF or other distributed filtering techniques, GNSS users can therefore achieve highprecision solutions without the need of relying on a centralized computing center.

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An analytical study of PPP-RTK corrections: precision, correlation and user-impact

Cited by 76 publications

References 31 publications

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Satellite-Clock Modeling in Single-Frequency PPP-RTK Processing

Consensus-Based Distributed Filtering for GNSS

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