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LTE NLOS Navigation and Channel Characterization

Whiton, Russ LU ; Chen, Junshi LU and Tufvesson, Fredrik LU orcid (2022) 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022) p.2398-2408
Abstract
Navigation with terrestrial wireless infrastructure is appealing to overcome geometrical limitations of satellite navigation for users in environments with limited sky views. However, terrestrial signals are also prone to multipath that can result in angular and range estimates that are not representative of actual transmitter-receiver geometry. In this paper, some of these propagation effects are quantified for a particular urban non line-of-sight (NLOS) scenario, based on measurements of downlink reference symbols transmitted by a commercial Long Term Evolution (LTE) base station (eNodeB) and received by a massive antenna array mounted on a passenger vehicle. Empirical results indicate that large-scale statistics for a user making... (More)
Navigation with terrestrial wireless infrastructure is appealing to overcome geometrical limitations of satellite navigation for users in environments with limited sky views. However, terrestrial signals are also prone to multipath that can result in angular and range estimates that are not representative of actual transmitter-receiver geometry. In this paper, some of these propagation effects are quantified for a particular urban non line-of-sight (NLOS) scenario, based on measurements of downlink reference symbols transmitted by a commercial Long Term Evolution (LTE) base station (eNodeB) and received by a massive antenna array mounted on a passenger vehicle. Empirical results indicate that large-scale statistics for a user making multiple passes through the same urban environment look similar when represented in terms of angles and delays despite changes in orientation and drive direction. Additionally, it is demonstrated that multipath effects can be utilized advantageously; it is possible to estimate not only user position but also orientation through wireless fingerprinting. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022)
pages
11 pages
publisher
Institute of Navigation
conference name
35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022)
conference location
Denver, United States
conference dates
2022-09-19 - 2022-09-23
external identifiers
  • scopus:85168670475
ISBN
978-0-936406-32-9
DOI
10.33012/2022.18386
language
English
LU publication?
yes
id
167edfda-5b8e-47f3-a886-c95f6d356759
date added to LUP
2022-10-17 15:59:10
date last changed
2023-11-20 04:02:12
@inproceedings{167edfda-5b8e-47f3-a886-c95f6d356759,
  abstract     = {{Navigation with terrestrial wireless infrastructure is appealing to overcome geometrical limitations of satellite navigation for users in environments with limited sky views.  However, terrestrial signals are also prone to multipath that can result in angular and range estimates that are not representative of actual transmitter-receiver geometry.  In this paper, some of these propagation effects are quantified for a particular urban non line-of-sight (NLOS) scenario, based on measurements of downlink reference symbols transmitted by a commercial Long Term Evolution (LTE) base station (eNodeB) and received by a massive antenna array mounted on a passenger vehicle.  Empirical results indicate that large-scale statistics for a user making multiple passes through the same urban environment look similar when represented in terms of angles and delays despite changes in orientation and drive direction. Additionally, it is demonstrated that multipath effects can be utilized advantageously; it is possible to estimate not only user position but also orientation through wireless fingerprinting.}},
  author       = {{Whiton, Russ and Chen, Junshi and Tufvesson, Fredrik}},
  booktitle    = {{Proceedings of the 35th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2022)}},
  isbn         = {{978-0-936406-32-9}},
  language     = {{eng}},
  month        = {{09}},
  pages        = {{2398--2408}},
  publisher    = {{Institute of Navigation}},
  title        = {{LTE NLOS Navigation and Channel Characterization}},
  url          = {{https://lup.lub.lu.se/search/files/125980595/ION_Article_2022_RWhiton.pdf}},
  doi          = {{10.33012/2022.18386}},
  year         = {{2022}},
}