Analysis of GNSS-RTK Monitoring Background Noise Characteristics Based on Stability Tests

GNSS-RTK offers numerous advantages and broad prospects in structural dynamic monitoring in civil engineering. However, in practical applications, GNSS-RTK accuracy is susceptible to the monitoring environments, causing actual monitoring accuracy to fall below its calibrated accuracy. This study inv...

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Main Authors: Wencong Qi, Feilong Li, Lina Yu, Lilong Fan, Kai Zhang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/2/379
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author Wencong Qi
Feilong Li
Lina Yu
Lilong Fan
Kai Zhang
author_facet Wencong Qi
Feilong Li
Lina Yu
Lilong Fan
Kai Zhang
author_sort Wencong Qi
collection DOAJ
description GNSS-RTK offers numerous advantages and broad prospects in structural dynamic monitoring in civil engineering. However, in practical applications, GNSS-RTK accuracy is susceptible to the monitoring environments, causing actual monitoring accuracy to fall below its calibrated accuracy. This study investigates the monitoring accuracy and spectral characteristics of GNSS-RTK based on stability tests under different environments related to reflection and obstruction conditions (i.e., concrete, grass, an obstructed balcony, and a water area). The findings indicate that in open environments of grass, concrete, and water, the standard deviation (STD) of GNSS-RTK monitored displacement is below 8 mm, its accuracy meeting the specifications of structural health monitoring. In the obstructed balcony environments, GNSS-RTK signals exhibit amplitude jumps, resulting in lower accuracy; however, during non-jump intervals, the STD of monitored displacement is below 10 mm, satisfying the structural health monitoring accuracy requirements. Moreover, the amplitudes of GNSS-RTK displacements in the concrete, grass, and water areas are basically consistent with the calibration accuracy of ±10 mm in the horizontal direction and ±20 mm in the elevation direction, while the amplitudes of GNSS-RTK displacements in the obstructed balcony condition are far greater than the calibration accuracy. The spectral analysis of GNSS-RTK signals reveals that multipath errors in concrete, grass, and obstructed balcony environments are primarily concentrated in the low-frequency range within 0.04 Hz, while the internal white noise of the instrument is widely and evenly distributed across the whole frequency domain. Based on these findings, adaptive methods, such as filter methods and multipath error correction techniques, are proposed for the de-noising of GNSS-RTK background noise.
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spelling doaj-art-ee63edb291b64d8096260b455c8ee7272025-01-24T13:48:42ZengMDPI AGSensors1424-82202025-01-0125237910.3390/s25020379Analysis of GNSS-RTK Monitoring Background Noise Characteristics Based on Stability TestsWencong Qi0Feilong Li1Lina Yu2Lilong Fan3Kai Zhang4School of Mechanical Engineering, Tianjin University, Tianjin 300072, ChinaCentre for Artificial Intelligence and Robotics (CAIR), Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hong Kong, ChinaSchool of Mechanical Engineering, Tianjin University, Tianjin 300072, ChinaChina Railway Construction Bridge Engineering Bureau Group Co., Ltd., Tianjin 300300, ChinaChina Railway Construction Bridge Engineering Bureau Group Co., Ltd., Tianjin 300300, ChinaGNSS-RTK offers numerous advantages and broad prospects in structural dynamic monitoring in civil engineering. However, in practical applications, GNSS-RTK accuracy is susceptible to the monitoring environments, causing actual monitoring accuracy to fall below its calibrated accuracy. This study investigates the monitoring accuracy and spectral characteristics of GNSS-RTK based on stability tests under different environments related to reflection and obstruction conditions (i.e., concrete, grass, an obstructed balcony, and a water area). The findings indicate that in open environments of grass, concrete, and water, the standard deviation (STD) of GNSS-RTK monitored displacement is below 8 mm, its accuracy meeting the specifications of structural health monitoring. In the obstructed balcony environments, GNSS-RTK signals exhibit amplitude jumps, resulting in lower accuracy; however, during non-jump intervals, the STD of monitored displacement is below 10 mm, satisfying the structural health monitoring accuracy requirements. Moreover, the amplitudes of GNSS-RTK displacements in the concrete, grass, and water areas are basically consistent with the calibration accuracy of ±10 mm in the horizontal direction and ±20 mm in the elevation direction, while the amplitudes of GNSS-RTK displacements in the obstructed balcony condition are far greater than the calibration accuracy. The spectral analysis of GNSS-RTK signals reveals that multipath errors in concrete, grass, and obstructed balcony environments are primarily concentrated in the low-frequency range within 0.04 Hz, while the internal white noise of the instrument is widely and evenly distributed across the whole frequency domain. Based on these findings, adaptive methods, such as filter methods and multipath error correction techniques, are proposed for the de-noising of GNSS-RTK background noise.https://www.mdpi.com/1424-8220/25/2/379GNSS-RTKbackground noiseenvironmental effectsstability test
spellingShingle Wencong Qi
Feilong Li
Lina Yu
Lilong Fan
Kai Zhang
Analysis of GNSS-RTK Monitoring Background Noise Characteristics Based on Stability Tests
Sensors
GNSS-RTK
background noise
environmental effects
stability test
title Analysis of GNSS-RTK Monitoring Background Noise Characteristics Based on Stability Tests
title_full Analysis of GNSS-RTK Monitoring Background Noise Characteristics Based on Stability Tests
title_fullStr Analysis of GNSS-RTK Monitoring Background Noise Characteristics Based on Stability Tests
title_full_unstemmed Analysis of GNSS-RTK Monitoring Background Noise Characteristics Based on Stability Tests
title_short Analysis of GNSS-RTK Monitoring Background Noise Characteristics Based on Stability Tests
title_sort analysis of gnss rtk monitoring background noise characteristics based on stability tests
topic GNSS-RTK
background noise
environmental effects
stability test
url https://www.mdpi.com/1424-8220/25/2/379
work_keys_str_mv AT wencongqi analysisofgnssrtkmonitoringbackgroundnoisecharacteristicsbasedonstabilitytests
AT feilongli analysisofgnssrtkmonitoringbackgroundnoisecharacteristicsbasedonstabilitytests
AT linayu analysisofgnssrtkmonitoringbackgroundnoisecharacteristicsbasedonstabilitytests
AT lilongfan analysisofgnssrtkmonitoringbackgroundnoisecharacteristicsbasedonstabilitytests
AT kaizhang analysisofgnssrtkmonitoringbackgroundnoisecharacteristicsbasedonstabilitytests