A combined algorithm for denoising GNSS-RTK positioning solutions with application to displacement monitoring of a super-high-rise building
Measurement Science and Technology, ISSN: 1361-6501, Vol: 32, Issue: 11
2021
- 8Citations
- 1Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Given that global navigation satellite system (GNSS)-based real-time kinematic (GNSS-RTK) monitoring accuracy is easily interfered with by residual errors, a combined algorithm is proposed for signal denoising with application to the GNSS-RTK positioning solutions of a super-high-rise building; namely, the Tianjin Radio and Television Tower in China. The proposed denoising algorithm is a combination of the Butterworth high-pass filter and complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), after which the intrinsic mode function components are selected based on the effective coefficient, the correlation coefficient and the power spectral density. After signal filtering, the structural dynamic deformation is 36.0 mm in the horizontal directions and 48.4 mm in the up-direction. Two orders of natural frequencies of the Tianjin Radio and Television Tower are successfully identified (i.e. 0.1583 Hz and 1 Hz). In addition, the relative error of the fundamental frequency is less than 0.44% compared with previous studies. The results reveal the reliability of the combined Butterworth–CEEMDAN algorithms for dealing with GNSS-RTK measurements. Moreover, the improvement in the GNSS-RTK sampling frequency is conducive to extracting more helpful monitoring information. Furthermore, the dynamic deformation data in this paper indicate that the Tianjin Radio and Television Tower is operating normally.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85113415470&origin=inward; http://dx.doi.org/10.1088/1361-6501/ac0b6d; https://iopscience.iop.org/article/10.1088/1361-6501/ac0b6d; https://iopscience.iop.org/article/10.1088/1361-6501/ac0b6d/pdf; https://dx.doi.org/10.1088/1361-6501/ac0b6d; https://validate.perfdrive.com/9730847aceed30627ebd520e46ee70b2/?ssa=59cabbdc-a280-4507-a606-894660b49bfa&ssb=05247263479&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F1361-6501%2Fac0b6d&ssi=acab863d-cnvj-4b3a-902b-37ca6269df46&ssk=botmanager_support@radware.com&ssm=0892826486487204894786070750975235&ssn=b744d49a61e19f3d30ab7682c8fde018cfca53ab38ba-3ef6-47ad-885114&sso=06f3265f-e46e90490974ae285bc1d54f3bc6fe74cb3e29288f4d1490&ssp=76820581781727843414172808528811872&ssq=05893610375231424455992155800949179120557&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJfX3V6bWYiOiI3ZjYwMDBjMzc5NzZhNi02OTg4LTQ5ZWItYTNiZC1hYTIyOTNkNmU2OWYxNzI3ODkyMTU1NzU2MTExNTk3MjAxLTJhM2NkMzViMjM2MGQxYjI5NDc4IiwidXpteCI6IjdmOTAwMDlkN2NmOTQ2LTFjMjYtNDAyZC1hNzY5LWM2YzgyNmUwYmMyODMtMTcyNzg5MjE1NTc1NjExMTU5NzIwMS0xYjA5NmZkMzIzMjVlMWZiOTQ3OCIsInJkIjoiaW9wLm9yZyJ9
IOP Publishing
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know