Convolutional neural networks based gnss signal classification using correlator-level measurements

C. Jiang, Y. Chen, Bing Xu, J. Jia, H. Sun, Z. He, T. Wang, J. Hyyppa

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In urban areas, the None-Line-Of-Sight (NLOS) and Multipath (MP) signals are the major issues degrading the GNSS position accuracy. Signal reception type should be identified before correcting the NLOS or MP induced errors. Signal features, i.e., signal strength, change rate of received signal strength, difference between delta pseudo-range and pseudo-range rate, have been explored in signal reception type classification. In this letter, with the aim to improve the signal classification accuracy, we propose a new GNSS NLOS/MP/LOS signals classification method using the correlator-level measurements. Firstly, vector tracking (VT) is employed to generate correlator-level measurements; secondly, a deep learning method, Convolutional Neural Network (CNN), is employed to automatically extract the features and identify the signal reception type, correlators' outputs calculated at different code phases are employed as the inputs of the CNN. Field test is carried out for assessing the performance of the proposed method, and the CNN method obtains state-of-art performance compared with the K-nearest Neighbors Algorithm (kNN) and Support Vector Machine (SVM) methods.

Original languageEnglish
Title of host publicationThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Pages61-66
Number of pages6
VolumeXLVI-3/W1-2022
DOIs
Publication statusPublished - 22 Apr 2022
Event7th International Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2022 - Wuhan, China
Duration: 18 Mar 202219 Mar 2022

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
PublisherInternational Society for Photogrammetry and Remote Sensing
ISSN (Print)1682-1750

Conference

Conference7th International Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2022
Country/TerritoryChina
CityWuhan
Period18/03/2219/03/22

Keywords

  • Convolutional Neural Networks
  • GNSS
  • Multipath
  • NLOS

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

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