Convolutional neural network based multipath detection method for static and kinematic GPS high precision positioning

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...

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Bibliographic Details
Main Authors: Quan, Yiming, Lau, Lawrence, Roberts, Gethin Wyn, Meng, Xiaolin, Zhang, Chao
Format: Article
Language:English
Published: MDPI 2018
Subjects:
Global Positioning System (GPS); Convolutional Neural Network (CNN); multipath detection; machine learning; high precision positioning
Online Access:https://eprints.nottingham.ac.uk/55854/

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