Article
Engineering, Multidisciplinary
Xia Xue, Honglei Qin, Hui Lu
Summary: The study proposes a real-time high-precision time synchronization method based on GNSS and designs a wireless navigation system based on RTK-DCPTT technology. By using Pulse Per Second signal trigger and clock correction, the accuracy of interstation time synchronization is further improved.
Article
Environmental Sciences
Pengyu Hou, Jiuping Zha, Teng Liu, Baocheng Zhang
Summary: Stochastic models play a crucial role in GNSS data processing. This paper proposes a method to estimate the variances of observation noise and process noise, and applies it to the estimation of dual-frequency GNSS observation noise and receiver code bias (RCB) process noise. The results show that the precision of GNSS observations differs in systems and frequencies, and the use of improper stochastic models can negatively affect parameter estimation, ambiguity resolution, and positioning performance.
Article
Engineering, Electrical & Electronic
Haijun Yuan, Zhetao Zhang, Xiufeng He, Yuanlan Wen, Jinwen Zeng
Summary: This study proposes an extended robust estimation method (EIGG3) considering multipath effects for real-time kinematic (RTK) positioning, which significantly improves the positioning accuracy and reliability of low-cost devices.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Environmental Sciences
Juan Manuel Castro-Arvizu, Daniel Medina, Ralf Ziebold, Jordi Vila-Valls, Eric Chaumette, Pau Closas
Summary: The use of carrier phase data drives high-precision GNSS positioning solutions like RTK, but the ambiguity of carrier phase observations requires solving integer ambiguities through IAR. New GNSS constellations have increased the number of observations, leading to challenges in medium and long baselines due to atmospheric residuals. This review introduces PAR schemes and the new PD-PAR technique, which outperforms existing solutions for non-recursive estimation in medium and long baselines.
Article
Engineering, Multidisciplinary
Yuan Li, Zhetao Zhang, Xiufeng He, Haijun Yuan, Nan Zang
Summary: This study proposes an elevation stochastic model constrained by C/N-0 to mitigate the adverse effects of errors such as multipath and NLOS in harsh environments, and improve positioning reliability. Experimental results in both static and kinematic scenarios demonstrate that the new model outperforms traditional stochastic models in terms of positioning performance.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Aerospace
Weisong Wen, Xiwei Bai, Li-Ta Hsu
Summary: In this paper, a three-dimensional vision-aided method is proposed to improve real-time kinematic position-ing in the global navigation satellite system (GNSS). The method utilizes a sky-pointing camera with a deep neural network to exclude reflected non-line-of-sight (NLOS) reception and explores the complementarity between visual landmarks and high-elevation satellite measurements to improve geometric constraints. Experimental results demonstrate the effectiveness of the proposed method.
NAVIGATION-JOURNAL OF THE INSTITUTE OF NAVIGATION
(2022)
Article
Engineering, Multidisciplinary
Hong Hu, Feng Zhou, Shuanggen Jin
Summary: The study evaluated the impact of the BDS-3 system on positioning results and proposed an improved stochastic model for multi-GNSS single point positioning based on LS-VCE. The positioning precision and accuracy were significantly improved by adding BDS-3 observations. The proposed method showed improved accuracy in E, N, and U directions in GPS/BDS dual system positioning.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2021)
Article
Remote Sensing
Xuanbin Wang, Xingxing Li, Zhiheng Shen, Xin Li, Yuxuan Zhou, Hanyu Chang
Summary: The factor graph-based GNSS positioning methods show more robust performance in urban canyons compared with traditional filter-based methods. This research proposes a factor graph optimization-based multi-GNSS real-time kinematic (FGO-RTK) framework that utilizes carrier phase observations for robust and precise positioning in urban canyons. Experimental results demonstrate that the proposed FGO-RTK achieves centimeter-level positioning accuracy in urban environments and outperforms the traditional extended Kalman filter (EKF)-RTK.
Article
Environmental Sciences
Lin Zhao, Jiachang Jiang, Liang Li, Chun Jia, Jianhua Cheng
Summary: An improved RTK method is proposed in this study, which enhances model strength by utilizing multiple rover receivers sharing a common clock. Experimental results demonstrate that the proposed method significantly improves ambiguity resolution success rate and positioning accuracy in restricted satellite visibility environments.
Article
Environmental Sciences
Kan Wang, Ahmed El-Mowafy, Wei Wang, Long Yang, Xuhai Yang
Summary: Low Earth orbit (LEO) satellites have high number, strong signal strength, and high speed, which benefit future ground-based positioning. LEO augmentation accelerates the convergence of precise point positioning (PPP) solution and improves user ambiguity resolution and formal horizontal precision. The testing results show that LEO augmentation significantly reduces the ambiguity-float horizontal protection levels (HPLs) and improves the ambiguity-fixed HPLs.
Article
Computer Science, Information Systems
Zun Niu, Fugui Guo, Qiangqiang Shuai, Guangchen Li, Bocheng Zhu
Summary: RTK and VIO are promising positioning technologies but have limitations in certain environments. Integrating them on smartphones can improve accuracy and robustness, with potential applications in navigation and positioning research.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Computer Science, Information Systems
Samuel Schiess, Gunhild Elisabeth Berget, Petter Arnesen, Morten Taraldsten Brunes, Hanne Seter, Astrid Marie Flattum Muggerud
Summary: Cooperative, connected, and automated mobility (CCAM) can greatly improve the transport system through increased safety, efficiency, and reduced emissions. Accurate and reliable positioning is crucial for realizing fully automated mobility and self-driving vehicles in CCAM. This paper investigates the status of GNSS technology in CCAM, focusing on position accuracies and integrities. Field tests using a self-driving vehicle in Norway reveal that GNSS methods alone are insufficient for fully automated mobility, with a general trend of decreasing accuracy in challenging surroundings.
Article
Remote Sensing
Rui Wang, Doris Becker, Thomas Hobiger
Summary: To improve the centimeter-level positioning accuracy of real-time kinematic (RTK), an enhanced Kalman filtering procedure is proposed in this study. By adaptively estimating the variance-covariance matrix of double-differenced measurements based on a posteriori residuals, instead of approximating it by an empirical function using satellite elevation angle, the success rate of ambiguity resolution and the reliability of positioning results are enhanced. Moreover, a stochastic model based on robust Kalman filtering is introduced to compute the variance-covariance matrix of double-differenced measurement noise empirically, using a modified version of the IGG III method, for outlier detection and identification, improving the filter performance.
Article
Chemistry, Multidisciplinary
Jiachen Zhang, Weisong Wen, Feng Huang, Yongliang Wang, Xiaodong Chen, Li-Ta Hsu
Summary: By adaptively integrating GNSS-RTK with LIO, this study achieved continuous and accurate global positioning for autonomous systems in urban scenarios, proposing a method to identify the quality of the GNSS-RTK solution based on the incrementally generated point cloud map by LIO, with global factor graph optimization used to fuse reliable GNSS-RTK and LIO.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Aerospace
X. Luo, S. Schaufler, M. Branzanti, J. Chen
Summary: The study evaluates the benefits of Galileo satellites for real-time kinematic, real-time precise point positioning, and post-processing scenarios, showcasing improved positioning availability and accuracy in various environments through comparison with different GNSS systems.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Engineering, Civil
Julian Thom, Robert Odolinski, Luke McDonald, Paul Denys
Article
Geochemistry & Geophysics
Robert Odolinski, Peter J. G. Teunissen
JOURNAL OF GEODESY
(2019)
Article
Engineering, Multidisciplinary
Chuanbao Zhao, Baocheng Zhan, Robert Odolinski, Yunbin Yuan
MEASUREMENT SCIENCE AND TECHNOLOGY
(2020)
Editorial Material
Geography, Physical
R. Odolinski, P. J. G. Teunissen, B. Zhang
JOURNAL OF SPATIAL SCIENCE
(2020)
Article
Remote Sensing
Xiaolong Mi, Baocheng Zhang, Robert Odolinski, Yunbin Yuan
Article
Geochemistry & Geophysics
Robert Odolinski, Peter J. G. Teunissen
JOURNAL OF GEODESY
(2020)
Article
Engineering, Multidisciplinary
Jacek Paziewski, Marco Fortunato, Augusto Mazzoni, Robert Odolinski
Summary: This study evaluates the quality of multi-GNSS observations from recent Android smartphones, revealing significant differences in carrier-to-noise density ratio (C/N0) compared to geodetic receivers, as well as differences among constellations and frequencies. Higher satellite elevation leads to larger discrepancies in C/N0 between geodetic receivers and smartphones, suggesting a C/N0 weighting scheme may be more effective than the typical elevation dependent approach. Additionally, observations show noisier code pseudoranges and better code signals on L5 and E5a compared to L1 and E1, respectively.
Article
Geochemistry & Geophysics
R. Odolinski, P. J. G. Teunissen
Summary: The study introduces the best integer equivariant (BIE) estimator for the multivariate t-distribution, analyzing its performance compared to LS and ILS contenders using multi-GNSS data. Monte Carlo simulations are utilized for controlled performance comparisons of the estimators, showing that BIE-estimators perform better in certain conditions compared to LS and ILS estimators.
JOURNAL OF GEODESY
(2022)
Article
Chemistry, Analytical
Chien Zheng Yong, Robert Odolinski, Safoora Zaminpardaz, Michael Moore, Eldar Rubinov, Jeremiah Er, Mike Denham
Summary: This study investigates the instantaneous single-baseline RTK performance of smartphones such as Samsung Galaxy S20 and Google Pixel 4 in Dunedin, New Zealand. The research reveals that the positioning performance may be affected by the orientation of smartphones, indicating different antenna gain pattern and sensitivity to interferences. Furthermore, a near hundred percent instantaneous RTK integer least-squares success rate and cm level positioning precision were achieved in short-baseline experiments with internal and external antennas.
Article
Chemistry, Analytical
Chien Zheng Yong, Ken Harima, Eldar Rubinov, Simon McClusky, Robert Odolinski
Summary: This paper compares the performance of the BIE estimator, ILS, and float solutions in smartphone GNSS positioning. The study finds that the BIE estimator consistently outperforms the ILS and float solutions in RTK positioning using both single- and dual-frequency smartphone GNSS observations. Additionally, regardless of the SR level, BIE is always superior to the float and ILS solutions in terms of MSE.
Article
Environmental Sciences
Wei Li, Kaitian Yuan, Robert Odolinski, Shaocheng Zhang
Summary: Ionospheric delay is a challenging error in single-frequency global navigation satellite system (GNSS) data processing. Global/regional ionospheric maps (GIM/RIM) are crucial for positioning users. This paper uses quad-constellation observations to establish the RIM over Australia and evaluates its performance in terms of positioning accuracy and convergence time.
Article
Geochemistry & Geophysics
Emily Tidey, Robert Odolinski
Summary: The use of Real Time Kinematic (RTK) Global Navigation Satellite System (GNSS) for accurate measurements in the marine environment has been considered since the late-1980's. This paper demonstrates the value of multi-constellation, low-cost, single-frequency RTK GNSS measurements for accurate positioning and tide measurements. The results show the potential to improve total uncertainty calculations and better understand the marine environment.
Proceedings Paper
Instruments & Instrumentation
Robert Odolinski, Peter J. G. Teunissen
PROCEEDINGS OF THE 2020 INTERNATIONAL TECHNICAL MEETING OF THE INSTITUTE OF NAVIGATION
(2020)
Proceedings Paper
Remote Sensing
Robert Odolinski, Peter J. G. Teunissen
PROCEEDINGS OF THE 2017 INTERNATIONAL TECHNICAL MEETING OF THE INSTITUTE OF NAVIGATION
(2017)
Article
Transportation
Qian (Chayn) Sun, Robert Odolinski, Jianhong (Cecilia) Xia, Jonathan Foster, Torbjorn Falkmer, Hoe Lee
TRAVEL BEHAVIOUR AND SOCIETY
(2017)
