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Convolutional Neural Network Based Multipath Detection Method for Static and Kinematic GPS High Precision Positioning

Yiming Quan, Lawrence Lau, Gethin Wyn Roberts, Xiaolin Meng, Chao Zhang
2018 Remote Sensing  
This paper proposes a convolutional neural network based carrier-phase multipath detection method.  ...  Global Positioning System (GPS) has been used in many aerial and terrestrial high precision positioning applications. Multipath affects positioning and navigation performance.  ...  Acknowledgments: The authors would like to thank Huib de Ligt for his help in experimental setup. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10122052 fatcat:3gkk5xpigfgutokp7wdxmx4fkm

Nonlinear Regression-Based GNSS Multipath Modelling in Deep Urban Area

Yongjun Lee, Byungwoon Park
2022 Mathematics  
Contrary to the high necessity and expectation of GNSS in urban areas, GNSS performance is easily degraded by multipath errors due to high-rise buildings and is very difficult to guarantee.  ...  This paper suggests training a multipath prediction model based on support vector regression to obtain a function of the elevation and azimuth angle of each satellite.  ...  The change in the shape of the correlation values of NLOS signals can be trained by convolutional neural networks, and its reflected signal discrimination probability was 98%, with the positional accuracy  ... 
doi:10.3390/math10030412 fatcat:aby26t3r4zgdhjk7oukhrsvlau

Non-Least Square GNSS Positioning Algorithm for Densely Urbanized Areas

Jerzy Demkowicz
2022 Remote Sensing  
The proposed approach can be widely applied to any positioning method that uses multiple position lines for position calculation and is an example of how using a numerical solution can improve position  ...  The paper introduces an essentially new algorithm for calculating the GNSS position as an alternative to the least-square method.  ...  Acknowledgments: I would like to thank the creators of satellite navigation systems and all those who share their knowledge, in particular the developers of the Open Source license software.  ... 
doi:10.3390/rs14092027 fatcat:ynp42pjkdjgppmkf7wqneooaqu

Integrity and Collaboration in Dynamic Sensor Networks

Steffen Schön, Claus Brenner, Hamza Alkhatib, Max Coenen, Hani Dbouk, Nicolas Garcia-Fernandez, Colin Fischer, Christian Heipke, Katja Lohmann, Ingo Neumann, Uyen Nguyen, Jens-André Paffenholz (+8 others)
2018 Sensors  
This includes the definition of alternative integrity concepts for space and time based on set theory and interval mathematics, establishing new types of maps that report on the trustworthiness of the  ...  However, in urban areas, the GNSS navigation performance is restricted due to signal obstructions and multipath.  ...  We first annotated the images taken during the mapathon using pre-trained CNN (convolutional neural network) models for semantic segmentation.  ... 
doi:10.3390/s18072400 pmid:30041498 pmcid:PMC6069503 fatcat:tchlqlgcnbhszkgfco6lzf6poe

Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation [article]

You Li, Yuan Zhuang, Xin Hu, Zhouzheng Gao, Jia Hu, Long Chen, Zhe He, Ling Pei, Kejie Chen, Maosong Wang, Xiaoji Niu, Ruizhi Chen (+3 others)
2020 arXiv   pre-print
Meanwhile, the newly-emerged Low-Power Wide-Area Network (LPWAN) technologies have advantages such as long-range, low power consumption, low cost, massive connections, and the capability for communication  ...  Compared to the related surveys, this paper has a more comprehensive and state-of-the-art review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original  ...  Also, there are various types of ANN, such as the recurrent neural network (RNN) [101] , convolutional neural network (CNN) [102] , radial basis function neural network (RBF) [103] , and multi-layer  ... 
arXiv:2004.03738v1 fatcat:av3zutx4urfwbiem7lkdmeghh4

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIM 2021 3508210 A High-Stability Diagnosis Model Based on a Multiscale Feature Fusion Convolutional Neural Network.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Program

2020 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)  
Gait phase detection with convolution neural network provides accurate classification but demands high computational cost, which inhibits real time low power on-sensor processing.  ...  In the proposed method, the visibility level of each image is estimated based on features acquired via Fourier transform and Convolutional Neural Network (CNN).  ...  The convolution neural network (CNN) has confirmed the high quality for super-resolution (SR) imaging.  ... 
doi:10.1109/icce-taiwan49838.2020.9258230 fatcat:g25vw7mzvradxna2grlzp6kgiq

Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review

Mahmoud Elsanhoury, Petteri Makela, Janne Koljonen, Petri Valisuo, Ahm Shamsuzzoha, Timo Mantere, Mohammed Elmusrati, Heidi Kuusniemi
2022 IEEE Access  
In addition, UWB is characterised by large bandwidth and data rate, short message length, low transmission power and high penetration capability, which are all favourable for indoor positioning applications  ...  The emerging technology of ultra-wideband (UWB) precision positioning has attracted significant attention throughout the previous decade owing to its promising capabilities over other radio frequency-based  ...  In [196] , the use of a multilayer perceptron, with transfer learning and convolutional neural networks (CNNs) as NLOS classifiers, not only enhanced the overall training accuracy from 44% to 98% but  ... 
doi:10.1109/access.2022.3169267 fatcat:7a2pf56bdvg2th3veljcoruuxu

IPIN 2018 Ninth International Conference on Indoor Positioning and Indoor Navigation

2018 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)  
This paper presents a Convolutional Neural Network (CNN) based method for designing and developing a novel smartwatch-based indoor geomagnetic field positioning system.  ...  CONVOLuTiONAL NeuRAL NeTWORKS FOR POSiTiON eSTiMATiON iN TdOA-BASed LOCATiNG SYSTeMS Arne Niitsoo, Germany, arne.niitsoo@iis.fraunhofer.de Thorsten Edelhäußer, Germany -Christopher Mutschler, Germany note  ...  A solution method of applying the Location Information Code for IMES is proposed. These findings contribute further to development of a practical seamless positioning system. 3.  ... 
doi:10.1109/ipin.2018.8533737 fatcat:rv5zjhjytjaijcqgvvvpmbfjfa

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  ., +, TIM Oct. 2020 8304-8313 Fast and Precise Positioning in PCBs Using Deep Neural Network Regression.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review

Lingfei Ma, Ying Li, Jonathan Li, Cheng Wang, Ruisheng Wang, Michael Chapman
2018 Remote Sensing  
The mobile laser scanning (MLS) technique has attracted considerable attention for providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced point-cloud coverage of the  ...  Part 2 provides a detailed analysis of on-road and off-road information inventory methods, including the detection and extraction of on-road objects (e.g., road surface, road markings, driving lines, and  ...  Accordingly, many studies were conducted for automated road marking classification by using deep learning based neural networks (e.g., PointNet [77] and PointCNN [78] ), but such methods need massive  ... 
doi:10.3390/rs10101531 fatcat:vtovzw7p45gtzdk2rrnt26apxe

12th Saint Petersburg International Conference on Integrated Navigation Systems

2004 IEEE Aerospace and Electronic Systems Magazine  
ACKNOWLEDGEMENTS The author would like to give special thanks to Patrice Guillard for his support during the phase of the MatLab GPS simulator design, to Abdelahad Benhallam from Ecole Nationale d'Aviation  ...  Acknowledgments This study was partially sponsored by the Russian Foundation for Basic Research under its grant No 97-01-01134.  ...  LINS) • A Global Positioning System (GPS) receiver that operates with the military high-precision Precise Positioning Service (PPS)orP(Y)-Code. • A Terrain Reference Navigation System (TRN) that compares  ... 
doi:10.1109/maes.2004.1346941 fatcat:z6zxudmnzbfgziagfqln3emo5y

13th Saint Petersburg International Conference on Integrated Navigation Systems

M. Grishina
2006 IEEE Aerospace and Electronic Systems Magazine  
ACKNOWLEDGEMENTS The author would like to give special thanks to Patrice Guillard for his support during the phase of the MatLab GPS simulator design, to Abdelahad Benhallam from Ecole Nationale d'Aviation  ...  Acknowledgments This study was partially sponsored by the Russian Foundation for Basic Research under its grant No 97-01-01134.  ...  LINS) • A Global Positioning System (GPS) receiver that operates with the military high-precision Precise Positioning Service (PPS)orP(Y)-Code. • A Terrain Reference Navigation System (TRN) that compares  ... 
doi:10.1109/maes.2006.1705169 fatcat:xzwrwxgqvbgbjgudu75rvy7oui

The 18th Saint Petersburg International Conference on Integrated Navigation Systems

2011 IEEE Aerospace and Electronic Systems Magazine  
ACKNOWLEDGEMENTS The author would like to give special thanks to Patrice Guillard for his support during the phase of the MatLab GPS simulator design, to Abdelahad Benhallam from Ecole Nationale d'Aviation  ...  Acknowledgments This study was partially sponsored by the Russian Foundation for Basic Research under its grant No 97-01-01134.  ...  LINS) • A Global Positioning System (GPS) receiver that operates with the military high-precision Precise Positioning Service (PPS)orP(Y)-Code. • A Terrain Reference Navigation System (TRN) that compares  ... 
doi:10.1109/maes.2011.6070282 fatcat:6bww25yu4fcmtoszue6f3mc7im

The 18th saint petersburg international conference on integrated navigation systems

2010 IEEE Aerospace and Electronic Systems Magazine  
ACKNOWLEDGEMENTS The author would like to give special thanks to Patrice Guillard for his support during the phase of the MatLab GPS simulator design, to Abdelahad Benhallam from Ecole Nationale d'Aviation  ...  Acknowledgments This study was partially sponsored by the Russian Foundation for Basic Research under its grant No 97-01-01134.  ...  LINS) • A Global Positioning System (GPS) receiver that operates with the military high-precision Precise Positioning Service (PPS)orP(Y)-Code. • A Terrain Reference Navigation System (TRN) that compares  ... 
doi:10.1109/maes.2010.5638804 fatcat:5fa2imjo4naavfgcdaju6lswvi
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