Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/80399
DC Field | Value | Language |
---|---|---|
dc.contributor | Interdisciplinary Division of Aeronautical and Aviation Engineering | - |
dc.creator | Sun, R | - |
dc.creator | Hsu, LT | - |
dc.creator | Xue, D | - |
dc.creator | Zhang, G | - |
dc.creator | Ochieng, WY | - |
dc.date.accessioned | 2019-02-20T04:13:39Z | - |
dc.date.available | 2019-02-20T04:13:39Z | - |
dc.identifier.issn | 0373-4633 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/80399 | - |
dc.language.iso | en | en_US |
dc.publisher | Cambridge University Press | en_US |
dc.rights | ©The Royal Institute of Navigation 2018 | en_US |
dc.rights | This article has been published in a revised form in Journal of Navigation, http://10.1017/S0373463318000899. This version is free to view and download for private research and study only. Not for re-distribution or re-use. © The Royal Institute of Navigation 2018. | en_US |
dc.subject | ANFIS | en_US |
dc.subject | Multipath | en_US |
dc.subject | NLOS | en_US |
dc.subject | Urban Canyon | en_US |
dc.title | GPS signal reception classification using adaptive neuro-fuzzy inference system | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 685 | en_US |
dc.identifier.epage | 701 | en_US |
dc.identifier.volume | 72 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.doi | 10.1017/S0373463318000899 | en_US |
dcterms.abstract | The multipath effect and Non-Line-Of-Sight (NLOS) reception of Global Positioning System (GPS) signals both serve to degrade performance, particularly in urban areas. Although receiver design continues to evolve, residual multipath errors and NLOS signals remain a challenge in built-up areas. It is therefore desirable to identify direct, multipath-affected and NLOS GPS measurements in order improve ranging-based position solutions. The traditional signal strength-based methods to achieve this, however, use a single variable (for example, Signal to Noise Ratio (C/N0)) as the classifier. As this single variable does not completely represent the multipath and NLOS characteristics of the signals, the traditional methods are not robust in the classification of signals received. This paper uses a set of variables derived from the raw GPS measurements together with an algorithm based on an Adaptive Neuro Fuzzy Inference System (ANFIS) to classify direct, multipath-affected and NLOS measurements from GPS. Results from real data show that the proposed method could achieve rates of correct classification of 100%, 91% and 84%, respectively, for LOS, Multipath and NLOS based on a static test with special conditions. These results are superior to the other three state-of-the-art signal reception classification methods. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of navigation, May 2019, v. 72, no. 3, p. 685-701 | - |
dcterms.isPartOf | Journal of navigation | - |
dcterms.issued | 2019-05 | - |
dc.identifier.scopus | 2-s2.0-85058134536 | - |
dc.source.type | ip | en |
dc.identifier.eissn | 1469-7785 | en_US |
dc.contributor.orcid | #NODATA# | en |
dc.contributor.orcid | #NODATA# | en |
dc.contributor.orcid | #NODATA# | en |
dc.contributor.orcid | #NODATA# | en |
dc.contributor.orcid | #NODATA# | en |
dc.description.validate | 201902 bcrc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a0287-n02 | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Sun_GPS_Reception_Classification.pdf | Pre-published version | 3.23 MB | Adobe PDF | View/Open |
Page views
377
Last Week
0
0
Last month
Citations as of Apr 14, 2024
Downloads
290
Citations as of Apr 14, 2024
SCOPUSTM
Citations
42
Citations as of Apr 19, 2024
WEB OF SCIENCETM
Citations
32
Last Week
0
0
Last month
Citations as of Apr 18, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.