Detection of Structural Vibration with High-Rate Precise Point Positioning: Case Study Results Based on 100 Hz Multi-GNSS Observables and Shake-Table Simulation

Paziewski, Jacek; Sieradzki, Rafal; Baryła, R.

doi:10.3390/s19224832

Cited by 18 publications

(8 citation statements)

References 43 publications

(49 reference statements)

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“…However, it is numerically challenging to estimate the related coefficients. In practice, the simplified stochastic modeling which is elevation dependent and ignores the correlations between the undifferenced observations is easy to implement, has a small computation burden, and also can produce a good estimation of the coordinate and other parameters (Cetin et al 2019;Paziewski et al 2019). Hence, it is assumed that there are no correlations among the triplefrequency observables.…”

Section: Methods For Triple-frequency Ppp Processingmentioning

confidence: 99%

GPS + Galileo + BeiDou precise point positioning with triple-frequency ambiguity resolution

et al. 2020

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Along with the rapid development of GNSS, not only BeiDou, but also Galileo, and the newly launched GPS satellites can provide signals on three frequencies at present. To fully take advantage of the multi-frequency multi-system GNSS observations on precise point positioning (PPP) technology, this study aims to implement the triple-frequency ambiguity resolution (AR) for GPS, Galileo, and BeiDou-2 combined PPP using the raw observation model. The processing of inter-frequency clock bias (IFCB) estimation and correction in the context of triple-frequency PPP AR has been addressed, with which the triple-frequency uncalibrated phase delay (UPD) estimation is realized for real GPS observations for the first time. In addition, the GPS extra-wide-line UPD quality is significantly improved with the IFCB correction. Because of not being contaminated by the IFCB, the raw UPD estimation method is directly employed for Galileo which currently has 24 satellites in operation. An interesting phenomenon is found that all Galileo satellites except E24 have a zero extra-wide-lane UPD value. With the multi-GNSS observations provided by MGEX covering 15 days, the positioning solutions of GPS + Galileo + BeiDou triple-frequency PPP AR have been conducted and analyzed. The triple-frequency kinematic GNSS PPP AR can achieve an averaged 3D positioning error of 2.2 cm, and an averaged convergence time of 10.8 min. The average convergence time can be reduced by triple-frequency GNSS PPP AR by 15.6% compared with dual-frequency GNSS PPP AR, respectively. However, the additional third frequency has only a marginal contribution to positioning accuracy after convergence.

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Section: Methods For Triple-frequency Ppp Processingmentioning

confidence: 99%

GPS + Galileo + BeiDou precise point positioning with triple-frequency ambiguity resolution

et al. 2020

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“…Here, the observation noise and multipath error can be detected in the frequency domain and are used to define the frequency band of structure movements. Multipath effect may reach up to several centimetres, which adversely affects the kinematic position accuracy (Paziewski et al 2019). The instantaneous impact of multipath is typically merged with phase noise.…”

Section: Filtering the Obtained Gnss Positions Time Seriesmentioning

confidence: 99%

“…The longerterm multipath effects have relatively long periods (several minutes and more) and low frequency with respect to the frequency band of structure movements. This implies that multipath effect can be effectively mitigated with a high-pass, band-pass or band stop filtering to obtain high-accuracy displacements (Paziewski et al 2019, Kaloop et al 2019. In this study, an 11-order Chebyshev band-pass filter with appropriate parameters for each event was implemented.…”

Section: Filtering the Obtained Gnss Positions Time Seriesmentioning

confidence: 99%

“…The relative GNSS monitoring system is regularly employed to precisely extract dynamic behaviours of structures. The precise point positioning (PPP) method has been investigated and improved for dynamic analyses of structures (Yigit 2016;Kaloop et al 2018Kaloop et al , 2019Paziewski et al 2019Paziewski et al , 2020Yigit et al 2020). The methods that used GNSS positioning for dynamic analysis of structures can be found in Larocca et al (2005), Moschas and Stiros (2014), Kaloop et al (2017), Yu et al (2018), Shen et al (2019), Yu et al (2020).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of multi-GNSS high-rate relative positioning for monitoring dynamic structural movements in the urban environment

Kaloop

Yiğit

El‐Mowafy

et al. 2020

Geomatics, Natural Hazards and Risk

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Skyscrapers cause both limited sky-view and multipath error when using Global Navigation Satellite System (GNSS) measurements for monitoring structural movements. To reduce multipath errors, cutoff elevation angle can be set to a high value such as 30 À40. However, in the case of employing high cutoff elevation angles, the use of GPS only may not provide adequate positioning solutions. To overcome this problem, Galileo and GLONASS observations are combined with GPS observations. This study experimentally investigates the contribution of multi-GNSS for studying the effects of different cutoff elevation angles on the accuracy of high-rate GNSS results for detecting characteristics of dynamic motions for structural health monitoring (SHM). The filtration design, noise level and Signal-to-Noise Ratio (SNR) of high-rate GNSS measurements of GPS-only, GPS/Galileo, GPS/ GLONASS and GPS/GLONASS/Galileo are assessed for different cutoff elevation angles. The results demonstrate that the SNR of GNSS solutions for GPS/GLONASS and GPS/GLONASS/Galileo is the highest, which signifies their use in SHM. The accuracy of the dynamic movements of structures can be attained to 2 mm, on average, using multi-GNSS measurements even when using high cutoff elevation angles up to 40. The precision of GPS/GLONASS and GPS/GLONASS/Galileo systems with different cutoff elevation angles was high when referenced to LVDT.

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“…Moschas and Stiros [25] used 100 Hz GNSS data (Javad Delta receiver) to study a stiff pedestrian bridge and then analyze the displacement noise characteristics [26]. Paziewski et al [27] showed that 100 Hz PPP (recorded by Topcon Net-G5 receiver) derived displacements with the help of a filter. In addition, the high-rate GNSS receivers (model: Javad Sigma-G3TAJ) have also successfully been applied in monitoring seismic responses [28,29].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of Accuracy of High-Rate GNSS in Context of Structural Health Monitoring

Shu

Ding

et al. 2022

Remote Sensing

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Global Navigation Satellite Systems (GNSS)-based technologies have become an indispensable part of current structural health monitoring (SHM) systems because of the unique capability of the GNSS technologies to provide accurate real-time displacement information. GNSS equipment with a data sampling rate of up to about 20 Hz has been widely used for this purpose. High-rate GNSS systems (typically up to about 100 Hz) offer additional advantages in structural health monitoring as some highly dynamic civil structures, such as some bridges, require high-rate monitoring data to capture the dynamic behaviors. However, the performance of high-rate GNSS positioning in the context of structural health monitoring is not entirely known, as studies on structural monitoring with high-rate GNSS positioning are very limited, especially considering that some of the satellite systems just reached their full constellations very recently. We carried out a series of experiments with the help of a shaking table to assess the SHM performance of a set of 100 Hz GNSS equipment and three commonly used GNSS positioning techniques, PPP (precise point positioning), PPP-AR (precise point positioning with ambiguity resolution), and RTK (real-time kinematic). We found that the standard deviations of the 100 Hz GNSS displacement solutions derived from PPP, PPP-AR, and RTK techniques were 5.5 mm, 3.6 mm, and 0.8 mm, respectively, when the antenna was in quasi-static motion, and about 9.2 mm, 6.2 mm, and 3.5 mm, respectively, when the antenna was in vibration (up to about 0.7 Hz), under typical urban observational conditions in Hong Kong. We also found that the higher a sampling rate is, the lower the accuracy of a measured displacement series is. On average, the 10 Hz and 100 Hz results are 5.5% and 10.3%, respectively, noisier than the 1 Hz results.

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Detection of Structural Vibration with High-Rate Precise Point Positioning: Case Study Results Based on 100 Hz Multi-GNSS Observables and Shake-Table Simulation

Cited by 18 publications

References 43 publications

GPS + Galileo + BeiDou precise point positioning with triple-frequency ambiguity resolution

GPS + Galileo + BeiDou precise point positioning with triple-frequency ambiguity resolution

Evaluation of multi-GNSS high-rate relative positioning for monitoring dynamic structural movements in the urban environment

Experimental Study of Accuracy of High-Rate GNSS in Context of Structural Health Monitoring

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