A systematic review of machine learning techniques for GNSS use cases

A Siemuri, K Selvan, H Kuusniemi… - … on Aerospace and …, 2022 - ieeexplore.ieee.org
In terms of the availability and accuracy of positioning, navigation, and timing (PNT), the
traditional Global Navigation Satellite System (GNSS) algorithms and models perform well …

Learning-enhanced adaptive robust gnss navigation in challenging environments

Y Ding, P Chauchat, G Pages… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Global Navigation Satellite System (GNSS) is the widely used technology when it comes to
outdoor positioning. But it has severe limitations with regard to safety-critical applications …

Learning GNSS positioning corrections for smartphones using graph convolution neural networks

A Mohanty, G Gao - NAVIGATION: Journal of the Institute of Navigation, 2023 - navi.ion.org
Smartphone receivers comprise approximately 1.5 billion global navigation satellite system
receivers currently manufactured worldwide. Smartphone receivers provide measurements …

PositionNet: CNN-based GNSS positioning in urban areas with residual maps

P Xu, G Zhang, B Yang, LT Hsu - Applied Soft Computing, 2023 - Elsevier
Multipath and non-light-of-sight (NLOS) reception greatly deteriorate the GNSS positioning
accuracy in urban areas. Currently, most of the attempts using machine learning in this area …

PrNet: A neural network for correcting pseudoranges to improve positioning with android raw GNSS measurements

X Weng, KV Ling, H Liu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
We present a neural network for mitigating pseudoranges errors to improve localization
performance with data collected from mobile phones. A satellite-wise Multilayer Perceptron …

Fusing vehicle trajectories and gnss measurements to improve gnss positioning correction based on actor-critic learning

H Zhao, Z Li, C Chen, L Wang, K Xie, S Xie - Proceedings of the 2023 …, 2023 - ion.org
Obtaining high-accuracy vehicle localization is essential for safe navigation in automated
vehicles, however, complex urban environments result in inaccurate positioning because of …

Comparative analysis of regression algorithms for the prediction of NavIC differential corrections

MK Karthan, NK Perumalla - Journal of Applied Geodesy, 2023 - degruyter.com
Abstract Indian Regional Navigation Satellite System (IRNSS) or Navigation with Indian
Constellation (NavIC) provides positioning, navigation and timing information services to …

Log-Regularized Dictionary Learning-Based Reinforcement Learning Algorithm for GNSS Positioning Correction

J Tang, X Chen, Z Li, H Zhao, S Xie… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In dynamic and complex environments, the positioning accuracy of global navigation
satellite system (GNSS) will be seriously reduced. Deep reinforcement learning (DRL) has …

[HTML][HTML] T-SPP: Improving GNSS Single-Point Positioning Performance Using Transformer-Based Correction

F Wu, L Wei, H Luo, F Zhao, X Ma, B Ning - International Journal of …, 2024 - hindawi.com
GNSS (global navigation satellite systems) technology enables high-precision single-point
positioning (SPP) in open environments. However, the accuracy of GNSS positioning is …

[HTML][HTML] 5G Indoor Positioning Error Correction Based on 5G-PECNN

S Yang, Q Zhang, L Hu, H Ye, X Wang, T Wang, S Liu - Sensors, 2024 - mdpi.com
With the development of the mobile network communication industry, 5G has been widely
used in the consumer market, and the application of 5G technology for indoor positioning …