11 results on '"Huang, Guanwen"'
Search Results
2. Algorithm and Performance of Precipitable Water Vapor Retrieval Using Multiple GNSS Precise Point Positioning Technology
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Hu, Peng, Huang, Guanwen, Zhang, Qin, Wang, Xiaolei, Mao, Min, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Sun, Jiadong, editor, Yang, Changfeng, editor, and Guo, Shuren, editor
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- 2018
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3. A Comparative Analysis of Relative Positioning Methods for BDS/GPS in Three Different Fields of Combination
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Wan, Lingchuan, Huang, Guanwen, Tu, Rui, Zhang, Juqing, Han, Junqiang, Sun, Jiadong, editor, Liu, Jingnan, editor, Yang, Yuanxi, editor, Fan, Shiwei, editor, and Yu, Wenxian, editor
- Published
- 2017
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4. Application Performance Analysis of Three GNSS Precise Positioning Technology in Landslide Monitoring
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Huang, Guanwu, Du, Yuan, Meng, Lumin, Huang, Guanwen, Wang, Jin, Han, Junqiang, Sun, Jiadong, editor, Liu, Jingnan, editor, Yang, Yuanxi, editor, Fan, Shiwei, editor, and Yu, Wenxian, editor
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- 2017
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5. Real-time BeiDou landslide monitoring technology of 'light terminal plus industry cloud'
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BAI Zhengwei, ZHANG Qin, HUANG Guanwen, JING Ce, and WANG Jiaxing
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landslide ,high-precision ,gnss ,low cost ,lcsh:Mathematical geography. Cartography ,InformationSystems_MISCELLANEOUS ,monitoring and early warning ,lcsh:GA1-1776 ,beidou - Abstract
Implementing the high-precision, real-time and three-dimensional deformation monitoring for the landslide area, which is the prerequisite for the accurate warning of landslide disasters. GNSS technology is currently the only way to directly obtain the three-dimensional vector deformation of landslide disaster surface, but GNSS has two problems of high-cost and low-reliability in large-scale landslide monitoring. The ideas of Internet of Things and the concept of "cloud platform plus monitoring terminal" are proposed in this article. Thus, we develop a real-time BeiDou/GNSS monitoring equipment with thousands RMB cost. The millimeter monitoring and warning cloud platform also are developed independently. This equipment successfully applied to real-time monitoring and early warning of Heifangtai landslide in Gansu Province. Cooperated with early warning system of the Chengdu University of Technology, we issued an accurate warning signal 40 minutes in advance to avoid casualties and property losses. The remote video surveillance installed on the landslide body recorded the whole process of landslide disaster for the first time.
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- 2019
6. A simplified GNSS/LEO joint orbit determination method.
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She, Haonan, Huang, Guanwen, Wang, Le, Qin, Zhiwei, Xie, Shichao, Lai, Wen, and Tian, Jing
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ORBIT determination , *ORBITS of artificial satellites , *ORBIT method , *GLOBAL Positioning System , *LOW earth orbit satellites , *ORBITS (Astronomy) - Abstract
• Provide a simplified joint orbit determination (JOD) method that employs kinematic approach to determine the LEO satellites orbit. • The comparative analysis between proposed method and traditional method is analyzed based on the real data from LEO onboard GNSS receiver. • Simplified JOD method demonstrates a significant decrease in computation time and is nearly unaffected by orbital maneuvers of LEO satellites. • The proposed method is prospective to be an efficient JOD mode for future LEO navigation enhancement system. Joint orbit determination (JOD) of Global Navigation Satellite Systems (GNSS) satellites and low Earth orbit (LEO) satellites has been substantiated as an efficacious approach to compensate for the ground station geometry. In the traditional JOD, the precise orbit determination (POD) of LEO satellite is mainly processed by the reduced-dynamic approach, however, this approach involves complex calculations and the credibility of the determined positions diminishes when LEO satellites undergo orbital maneuvers. Therefore, a simplified JOD method is designed that employs kinematic approach to determine the LEO satellites orbit. To verify the effectiveness of the proposed method, the orbit of GPS satellites and LEO satellites are jointly estimated utilizing the regional and global networks. 8 LEO satellites, including GRACE-C/D, SWARM-A/B/C, SENTINEL-3A/B, and JASON-3, are chosen for JOD. The comparative analysis between the proposed method and traditional method are achieved in terms of GPS orbit accuracy, LEO orbit accuracy, computation time and the JOD performance during LEO maneuvers. Under regional station scenario, the GPS orbit accuracy determined using the proposed method and the traditional method is 3.64 cm and 2.52 cm, respectively. In the case of global station scenario, the accuracies are 1.71 cm and 1.64 cm. Additionally, the traditional method yields superior enhancement and higher accuracy of the LEO orbits. However, it exhibits a noticeable increase in computation time compared to the proposed method and the performance of JOD declines significantly when LEO satellites undergo orbital maneuvers. Alternatively, although the accuracy of the LEO orbits using the proposed method is comparatively lower, it offers a substantial reduction in the overall network computation time compared to traditional method. Moreover, the proposed method based on LEO kinematic precise orbit determination (KPOD) is nearly unaffected by orbital maneuvers of LEO satellites, presenting unique advantages in practical data processing. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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7. GNSS/Accelerometer Adaptive Coupled Landslide Deformation Monitoring Technology.
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Jing, Ce, Huang, Guanwen, Zhang, Qin, Li, Xin, Bai, Zhengwei, and Du, Yuan
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LANDSLIDES , *GLOBAL Positioning System , *ACCELEROMETERS , *EMERGENCY management , *KALMAN filtering , *ROOT-mean-squares , *WARNINGS - Abstract
Global Navigation Satellite System (GNSS) positioning technology has become the most effective method for real-time three-dimensional landslide monitoring. However, the GNSS observation signal is easily affected by the presence of a complex landslide environment with high occlusion and strong interference, in which case its accuracy and reliability cannot meet the requirements of landslide deformation monitoring. Although the accelerometers have strong autonomous working capacities and can complement the GNSS landslide monitoring technology, regular GNSS/accelerometer coupled deformation monitoring technology relies on high-quality GNSS measurement information in order to obtain high-precision accelerometer-reckoned results, derived by accurately estimating the baseline shift error (BSE). When the GNSS signal suffers severe interference, the GNSS monitoring error will be partially absorbed by the BSE component after Kalman filtering, resulting in the divergence of the deformation solution. In this study, an abnormal observation variance inflation model was used to process the simulated landslide monitoring data (GNSS and accelerometer raw observation) for three typical scenes—GNSS signal normally locked, signal partially lost, and short-term interruption. The results were as follows: (1) When the GNSS signal was normally locked, the accuracy was comparable to that of the coupled solution employing an accelerometer (the Root Mean Square (RMS) values in the East (E), North (N) and Upward (U) directions were 0.11 cm, 0.33 cm, and 0.30 cm, respectively). (2) When the GNSS signal was partially lost, the accelerometer could effectively suppress the low-precision float solution of the GNSS, but here, the accuracy of the coupled solution would also decrease with the duration of the floats (the RMS values were E—1.21 cm, N—0.31 cm, and U: 0.58—cm, respectively, when the floats lasted for 10 s, and increased to E—3.09 cm, N—0.39 cm, and U—1.14 cm when they lasted for 20 s, wherein E was the main simulated sliding direction). (3) When the GNSS signal was interrupted for a short time, the accuracy of the coupled solution gradually decreased during continuous interruption, and decreased more quickly during the sliding period of the landslide (when the interruption persisted for 10 s, the RMS values in the simulated landslide stability period were E—0.61 cm, N—0.24 cm, and U—0.25 cm, respectively, while in the simulated landslide sliding period they reached E—4.10 cm, N—6.84 cm, and U—2.30 cm). However, raw observations of the accelerometer could still effectively be used to assist in identifying the real state of the landslide, thereby providing auxiliary information pertinent to early landslide disaster warning. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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8. Precision Space Observation Technique for Geological Hazard Monitoring and Early Warning
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ZHANG Qin, HUANG Guanwen, and YANG Chengsheng
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geodetic measurement ,InSAR ,GNSS ,geological disasters ,lcsh:Mathematical geography. Cartography ,space technology ,monitoring and early warning ,lcsh:GA1-1776 - Abstract
Since the 21st century, with the deterioration of the world environment and the intense human activities, geological disasters have been occurred more frequently. Precision space observation technology is an important means for geological disasters monitoring and early warning. In this paper, the characteristics and monitoring methods of common geological disasters are introduced. The technical characteristics and application of InSAR, LiDAR, high resolution remote sensing and GNSS are discussed. The integration of high precision spatial monitoring technology are reviewed and prospected. Finally, the future trends of the geological disaster monitoring and early warning technology are summarized.
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- 2017
9. An integer ambiguity resolution method based on baseline vector predictions in landslide monitoring.
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Bai, Zhengwei, Huang, Guanwen, Zhang, Qin, Jing, Ce, and Wang, Duo
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LANDSLIDE prediction , *LANDSLIDE hazard analysis , *GLOBAL Positioning System , *LANDSLIDES , *INTEGERS , *AMBIGUITY , *QUADRATIC forms - Abstract
• A novel integer ambiguity resolution method for GNSS deformation monitoring. • Utilized baseline prediction construct the mixed integer least-squares criterion. • A validation procedure using real-time dynamic baseline vector predictions. • Achieved substantial performance enhancements in challenging scenarios. Accurate integer ambiguity resolution (IAR) is pivotal for high-precision and high-reliability Global Navigation Satellite Systems (GNSS) positioning. However, traditional IAR methodologies, encompassing integer estimation and validation, often face significant challenges in harsh landslide environments. This paper proposes a new IAR method based on baseline vector predictions. Initially, the real-time baseline vectors predictions are used to substitute the true values of baseline vectors in the mixed integer least-squares (MILS) estimation equation, and the MILS estimation criterion is constructed which contains the quadratic form of baseline vectors. Subsequently, a novel baseline vector validation procedure, built on real-time dynamic predictions, is established. Experiments were carried out at two GNSS landslide monitoring area using GPS + BDS dual-frequency measurement data. These stations underwent both stable deformation stages within complex measurement environments and accelerated deformation stages in open environments. Results indicate that the proposed method overcomes the limitations associated with conventional ambiguity validation methods based on hypothesis testing, addressing the errors of "abandoning trueness" and "accepting mistake" simultaneously. Notably, the ambiguity fixed rate improved by 80.7 % for single-frequency experiments and 39.8 % for dual-frequency experiments at one monitoring station located in a complex environment. This work provides valuable IAR approach for GNSS deformation monitoring applications. [ABSTRACT FROM AUTHOR]
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- 2024
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10. GNSS/accelerometer integrated deformation monitoring algorithm based on sensors adaptive noise modeling.
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Jing, Ce, Huang, Guanwen, Li, Xin, Zhang, Qin, Yang, Huan, Zhang, Kai, and Liu, Guolin
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GLOBAL Positioning System , *RANDOM walks , *KALMAN filtering , *NOISE measurement , *ACCELEROMETERS , *NOISE , *DETECTORS , *DIGITAL image correlation - Abstract
• Adaptive noise model based on GNSS and accelerometer sensors were proposed for Kalman filtering. • A quantitative inflated factor function based on STD was introduced to match the time-varying noise of accelerometers in real-time. • Deformation experiments in different states (static and dynamic, whether GNSS signal interference) were conducted to fully validate the contribution of the new algorithm. The Global Navigation Satellite System (GNSS) and accelerometer integrated system can obtain more stable and reliable deformation displacement with the full use of the complementary technical characteristics of these two types of sensors. The Kalman Filter (KF) method is often applied to integrate GNSS three-dimensional (3D) coordinates and high-rate accelerometer measurements. The key to obtaining accurate solutions is the reasonable setting of measurement noise and process noise of KF. However, in some complex deformation monitoring scenarios such as landslides, both GNSS and accelerometers are susceptible to interference from factors like vegetation cover and external dynamic disturbance. Traditional adaptive filtering methods is hard to simultaneously and appropriately adjust the two types of noise matrices. To address this problem, an adaptive noise model based on sensors is proposed. The adaptive measurement noise is constructed using the posterior coordinate covariance derived from GNSS-RTK process. The random walk coefficient corresponding to the process noise is estimated online via the standard deviation (STD) of acceleration time-varying information. A series of numerical experiments about simulated three-dimensional (3D) deformation displacement are carried out to validate the proposed algorithm. The results show that: (1) When the GNSS signal is disturbed by complex environment, the adaptive measurement noise model effectively contributes to the accuracy improvement, from decimeter level to centimeter level. (2) In the presence of unstable deformable bodies, the adaptive process noise algorithm significantly suppresses the divergent deformation time series caused by external accelerometer disturbances. (3) Even if suffering the overlying effects of electromagnetic interference and external disturbance, the centimeter-level deformation monitoring accuracy can be achieved by using the joint adaptive measurement and process noise model. The improvement effect is particularly significant in the main deformation direction. [ABSTRACT FROM AUTHOR]
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- 2023
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11. A New Azimuth-Dependent Elevation Weight (ADEW) Model for Real-Time Deformation Monitoring in Complex Environment by Multi-GNSS.
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Han, Junqiang, Huang, Guanwen, Zhang, Qin, Tu, Rui, Du, Yuan, and Wang, Xiaolei
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DEFORMATIONS (Mechanics) , *GLOBAL Positioning System , *ERROR analysis in mathematics , *NUMERICAL analysis , *ENERGY consumption - Abstract
Global navigation satellite systems (GNSS) have provided an excellent way to monitor micro-deformation in real-time. However, at local sites where landslides frequently occur, the environment can include complex surroundings with mountains, dense vegetation, and human settlements, which can severely degrade the accuracy of positioning with the GNSS technique. In this study, we propose an azimuth-dependent elevation weight (ADEW) model using an azimuth-dependent elevation mask (ADEM) to reduce the effects of multipath errors and improve the accuracy of real-time deformation monitoring in such environments. We developed an adaptive fixed-elevation mask to serve as the outlier of low precision observations at lower elevations for the ADEM, and then, we applied the weighted phase observations into the mitigation process for the effects of multipath errors. The real numerical results indicate that the ADEM model performs better than the conventional model, and the average improvements were 18.91% and 34.93% in the horizontal and vertical direction, respectively. The ADEW model further improved upon the ADEM model results by an additional 21.9% and 29.8% in the horizontal and vertical direction, respectively. Therefore, we propose that the ADEW model can significantly mitigate the effects of multipath errors and improve the accuracy of micro-deformation monitoring via GNSS receivers. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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