Multipath Effect Analysis and Processing Method of GNSS Landslide Monitoring Under Complicated Environment
(PDF)
《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]
- Issue:
- 2018年第03期
- Page:
- 355-362
- Research Field:
- 地球信息科学
- Publishing date:
Info
- Title:
- Multipath Effect Analysis and Processing Method of GNSS Landslide Monitoring Under Complicated Environment
- Author(s):
- HAN Jun-qiang; HUANG Guan-wen; LI Zhe
- School of Geology Engineering and Geomantics, Chang’an University, Xi’an 710054, Shaanxi, China
- Keywords:
- landslide; multipath effect; GNSS-RTK technology; complicated environment; elevation angle; sidereal filtering method; deformation monitoring
- PACS:
- P228.1
- DOI:
- -
- Abstract:
- GNSS-RTK technology has been widely used in deformation monitoring. However, the multipath effect has a great impact on deformation monitoring under complicated environment, which seriously restricts the application in high-precision landslide monitoring. In order to eliminate the multipath effect of GNSS landslide monitoring under complicated environment, the GNSS landslide deformation monitoring data under Qinba mountain area and loess monitoring environments were collected to analyze the range of visible satellite, SNR and multipath effect sequences, and the sidereal filtering method was used to correct the multipath effect sequences, and to verify the method and accuracy for weakening the multipath effect under complicated environment. The results show that because of the terrain, the correlation between multipath effect and elevation is weakened, and the single cutoff elevation is not fine to weaken the multipath effect; the multipath effect under complicated environment is up to 2 m, which can not meet the requirements of deformation monitoring; based on wavelet denoising, the error trend terms are extracted from positioning results by sidereal filtering method, and are used to correct the positioning error of two continuous days in real time; the positioning residual errors are promoted to millimeter-level, and the accuracies in east, north and elevation directions increase by 84.38%, 72.88% and 64.84%, respectively.
Last Update: 2018-06-05