First prospects in a new approach for structure monitoring from GPS multipath effect and wavelet spectrum

Souza, Eniuce Menezes de; Negri, Tamiris Trevisan

doi:10.1016/j.asr.2017.02.043

Cited by 8 publications

(3 citation statements)

References 16 publications

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“…Azarbad and Mosavi 4 used a new stationary wavelet transform method and decomposed double‐difference residuals; subsequently, they analyzed the low and high frequencies in both the frequency and time domains. Souza and Negri 62 performed the WSA of multipath signals using a novel approach of structure monitoring from GNSS multipath effects. Lau 14 utilized wavelet denoising packets to extract a GNSS multipath correction model and used it for a satellite orbital repeating period strategy.…”

Section: Introductionmentioning

confidence: 99%

Wavelet and power spectrum analysis of global navigation satellite system multipath error modeling and mitigation

Ansari

Bae

2021

Satell Commun Network

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Summary This study investigates the multipath error modeling and mitigation for triple‐frequency global navigation satellite system (GNSS) signals inside South Korea. Multifrequency global positioning system (GPS), globalnaya navigatsionnaya sputnikovaya sistema (GLONASS), and Galileo data are collected in an environment where the receiver must track these three constellations in both low and high multipath scenarios. First, an advanced power spectrum analysis technique known as Welch method is performed using experimental data, and its benefits and drawbacks are described. In the second attempt, the spectrogram method is utilized to perform multipath feature time–frequency analysis. Although the abnormal frequency peak presented by the spectrogram is stable, the spectrogram does not support the precise recognition of the multipath error peak occurrence. Hence, in the third attempt, continuous wavelet transforms (CWT) are applied to highlight this type of peak resolution. The CWT function successfully indicated the maximum and minimum peak resolutions and exhibited a clear wavelet energy spread. In the final stage, experimental data are reconstructed by inverse CWT (ICWT), and comparative results in terms of root mean square before and after the ICWT are estimated. After implementing the inverse wavelet method in high and low multipath error of experimental data, overall average percentages of multipath mitigation reduction compared to actual multipath error are estimated to be 95.74% and 98.79%, respectively. This study demonstrates the high efficiency of the wavelet method as well as the effectiveness as a multipath error reduction approach. These improvements can be considered as significant in achieving high‐precision positioning accuracy.

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Section: Introductionmentioning

confidence: 99%

Wavelet and power spectrum analysis of global navigation satellite system multipath error modeling and mitigation

Ansari

Bae

2021

Satell Commun Network

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“…For instance, Schaal and Larocca (2002) applied the phase-residual method for estimating dynamic movements of structures based on GPS observations. Souza and Negri (2017) used multipath effects for estimating movement of structures without installing a receiver on it. Paziewski et al (2018) proposed a GNSS phase direct signal-processing approach technique using real-time kinematic (RTK) and PPP methods for determining dynamic displacements.…”

Section: Introductionmentioning

confidence: 99%

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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“…Lawrence Lau (2017) proposed a generic and robust three-level wavelet packets based denoising method for repeat-time-based carrier phase multipath filtering in relative positioning; the results show that the wavelet packets based method is better than the DWT-based method in the repeat time-based multipath filtering [19]. Souza et al (2017) proposed a new approach for structure monitoring from GPS multipath effect and wavelet spectrum, and the experience investigated the feasibility of using wavelet spectra analysis of the multipath signal to monitor structure movement [20].…”

Section: Introductionmentioning

confidence: 99%

A New Method for Multipath Filtering in GPS Static High-Precision Positioning

Han

Tang

Deng

2019

Sensors

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It is well known that multipath is one of the main sources of errors in GPS static high precision positioning of short baselines. Most algorithms for reducing multipath manipulate the GPS double difference (DD) observation residuals as input signal in GPS signal processing. In the traditional multipath mitigation methods, applying the wavelet transform (WT) to decompose the GPS DD observation residuals for identifying the multipath disturbance cannot effectively filter out the white noise of the high frequency part of the signal, and it is prone to edge effect. In this paper, for extracting multipath, a wavelet packet algorithm based on two-dimensional moving weighted average processing (WP-TD) is proposed. This algorithm can not only effectively filter out the white noise of the high frequency part of the signal, but also weaken the influence of the edge effect. Furthermore, considering the repeatability of multipath error in static positioning, we propose a method for determining the level of wavelet packet decomposition layers which make multipath extraction more effectively. The experimental results show that the corrected positioning accuracy is 14.14% higher than that of the traditional wavelet transform when applying the obtained multipath to DD coordinate sequences for position correction.

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First prospects in a new approach for structure monitoring from GPS multipath effect and wavelet spectrum

Cited by 8 publications

References 16 publications

Wavelet and power spectrum analysis of global navigation satellite system multipath error modeling and mitigation

Wavelet and power spectrum analysis of global navigation satellite system multipath error modeling and mitigation

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

A New Method for Multipath Filtering in GPS Static High-Precision Positioning

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