Convolutional Neural Network Based Multipath Detection Method for Static and Kinematic GPS High Precision Positioning
Global Positioning System (GPS) has been used in many aerial and terrestrial high precision positioning applications. Multipath affects positioning and navigation performance. This paper proposes a convolutional neural network based carrier-phase multipath detection method. The method is based on th...
Main Authors: | Yiming Quan, Lawrence Lau, Gethin Wyn Roberts, Xiaolin Meng, Chao Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-12-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/10/12/2052 |
Similar Items
-
A New Method for Multipath Filtering in GPS Static High-Precision Positioning
by: Ke Han, et al.
Published: (2019-06-01) -
Prior Position- and ZWD-Constrained PPP for Instantaneous Convergence in Real-Time Kinematic Application
by: Xu Tang, et al.
Published: (2021-07-01) -
Reduction of Kinematic Short Baseline Multipath Effects Based on Multipath Hemispherical Map
by: Miaomiao Cai, et al.
Published: (2016-10-01) -
Performance Evaluation of Triple-Frequency GPS/Galileo Techniques for Precise Static and Kinematic Applications
by: Mahmoud Abd Rabbou, et al.
Published: (2021-05-01) -
Ultra fast static GNSS positioning with GPS and Galileo systems
by: Jacek Paziewski, et al.
Published: (2014-06-01)