Improving GNSS Positioning Correction Using Deep Reinforcement Learning with an Adaptive Reward Augmentation Method
J Tang, Z Li, K Hou, P Li, H Zhao, Q Wang… - … : Journal of the Institute …, 2024 - navi.ion.org
High-precision global navigation satellite system (GNSS) positioning for automatic driving in
urban environments remains an unsolved problem because of the impact of multipath …
urban environments remains an unsolved problem because of the impact of multipath …
GNSS-based Environment Retrieval: A Deep Learning Approach for Fine-grained Environment Perception
GNSS positioning accuracy for vehicles confronts different challenges from a variety of
environments in urban navigation. To provide a suitable positioning solution for each …
environments in urban navigation. To provide a suitable positioning solution for each …
BOC-FPDNet: BOC First arrival Path Detection in Multipath Channel for GNSS Positioning
Binary Offset Carrier (BOC) modulation is used in the Global Navigation Satellite System
(GNSS). Unlike Binary Phase Shift Keying (BPSK) in the Global Positioning System, BOC …
(GNSS). Unlike Binary Phase Shift Keying (BPSK) in the Global Positioning System, BOC …
Characterization of BDS Multipath Effect Based on AT-Conv-LSTM Network
J Sun, Z Tang, C Zhou, J Wei - Remote Sensing, 2023 - mdpi.com
Multipath effects are the most challenging error sources for the Global Navigation Satellite
System receiver, affecting observation quality and positioning accuracy. Due to the non …
System receiver, affecting observation quality and positioning accuracy. Due to the non …
Improving prediction of gnss satellite visibility in urban canyon based on graph transformer
S Zheng, Z Li, Q Wang, K Xie, M Liu, S Xie… - Proceedings of the 36th …, 2023 - ion.org
Signals from global navigation satellite systems (GNSS) suffer from serious multipath errors
in urban areas caused by building blockages and reflections. The use of deep neural …
in urban areas caused by building blockages and reflections. The use of deep neural …
A Few-Shot Learning-Based Semi-Supervised Method to Enhance NLOS Recognition Accuracy Across Multiple Locations By Cross-Spatiotemporal Information
K Zeng, Z Li, S Xie, Q Wang, W Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Machine learning (ML)-based Global Navigation Satellite System (GNSS) signal recognition
has been considered an efficient way to mitigate multipath error in positioning estimation …
has been considered an efficient way to mitigate multipath error in positioning estimation …
Predictive control based on LSTM for suspension operation of maglev vehicle
M Liu, S Fu, H Wu, X Liang… - Journal of Vibration …, 2024 - journals.sagepub.com
To maintain the stable suspension of high-speed maglev vehicles, a predictive control
algorithm based on neural networks is proposed. Initially, the vehicle dynamic response …
algorithm based on neural networks is proposed. Initially, the vehicle dynamic response …
Environment adaptive navigation (EAN): A data-driven approach for improved navigation accuracy
The quality of GNSS-based navigation services is highly influenced by the type of operating
environment. The urban environments with buildings and structures pose substantial …
environment. The urban environments with buildings and structures pose substantial …
GNSS location error reduction method for microtremor survey system based on EMD-CNN-LSTM
W Wu, X Mou - Journal of Physics: Conference Series, 2024 - new.iopscience.iop.org
Large errors exist when the microtremor survey system uses the global navigation satellite
system (GNSS) for static localization. Aiming at the problem that the existing methods cannot …
system (GNSS) for static localization. Aiming at the problem that the existing methods cannot …