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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2011 - 4

 HIGH-IMPACT PAPER 

Evaluating GPS Data in Indoor Environments

MOTTE, H. See more information about MOTTE, H. on SCOPUS See more information about MOTTE, H. on IEEExplore See more information about MOTTE, H. on Web of Science, WYFFELS, J. See more information about  WYFFELS, J. on SCOPUS See more information about  WYFFELS, J. on SCOPUS See more information about WYFFELS, J. on Web of Science, DE STRYCKER, L. See more information about  DE STRYCKER, L. on SCOPUS See more information about  DE STRYCKER, L. on SCOPUS See more information about DE STRYCKER, L. on Web of Science, GOEMAERE, J.-P. See more information about GOEMAERE, J.-P. on SCOPUS See more information about GOEMAERE, J.-P. on SCOPUS See more information about GOEMAERE, J.-P. on Web of Science
 
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Download PDF pdficon (952 KB) | Citation | Downloads: 1,452 | Views: 5,289

Author keywords
context-aware services, Global Positioning System, indoor environments, radiowave propagation, satellite navigation systems

References keywords
indoor(8), strycker(6), sensor(5), navigation(5), localization(5), goemaere(5), wyffels(4), networks(4), location(4), local(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 25 - 28
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03004
Web of Science Accession Number: 000296186700004
SCOPUS ID: 80055087410

Abstract
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With the latest generation of ultra-sensitive GPS-receivers, satellite signals can often be picked up even indoors, resulting in (inaccurate) indoor GPS-localization. A covered position will therefore no longer be characterized by the absence of satellite signals, creating the need for another way of categorizing this data as potentially inaccurate. This paper describes the use of GPS-based localization in an indoor environment. Only high level, generally available, GPS-data (NMEA-0183 GNSS-subset) are taken into account. Applications of ubiquitous location awareness, where the use of several RTLS (Real Time Location System) combinations is feasible, may benefit from this information to discriminate between GPS and other available localization data. A quality indicating parameter is readily available in GPS-data; the DOP (Dilution Of Precision) data field, which indicates the accuracy of the GPS localization based on the current satellite geometry. However since in indoor environments the roof and possible overlying floors often cause more signal attenuation compared to (outer) walls or windows, the probability of a better reception of 'low' orbiting satellite signals increases, giving rise to an unjustified good horizontal DOP value. Standard NMEA-0183 GPS strings are therefore analyzed in search of other indicators for malicious GPS-data.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 12
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Cited-By CrossRef

[1] From Coarse to Fine: Two-Stage Indoor Localization with Multisensor Fusion, Zhang, Li, Bao, Jinhui, Xu, Yi, Wang, Qiuyu, Xu, Jingao, Li, Danyang, Tsinghua Science and Technology, ISSN 1007-0214, Issue 3, Volume 28, 2023.
Digital Object Identifier: 10.26599/TST.2022.9010029
[CrossRef]

[2] Visible Light Positioning as a Next-Generation Indoor Positioning Technology: A Tutorial, Bastiaens, Sander, Alijani, Morteza, Joseph, Wout, Plets, David, IEEE Communications Surveys & Tutorials, ISSN 1553-877X, Issue 4, Volume 26, 2024.
Digital Object Identifier: 10.1109/COMST.2024.3372153
[CrossRef]

[3] Implementation of a WiFi-based indoor location system on a mobile device for a university area, Fernandez, Dennis Nunez, 2019 IEEE XXVI International Conference on Electronics, Electrical Engineering and Computing (INTERCON), ISBN 978-1-7281-3646-2, 2019.
Digital Object Identifier: 10.1109/INTERCON.2019.8853556
[CrossRef]

[4] DEVELOPMENT OF INDOOR POSITIONING SYSTEM, BASED ON LEAFLET MAP, GEOLOCATION AND WI-FI POSITION ESTIMATION WITH ACCURACY ASSESSMENT, Ilieva, Tamara, 23rd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2023, Informatics, Geoinformatics and Remote Sensing, Vol 23, Issue 2.1., ISBN 9786197603576, Issue , 2023.
Digital Object Identifier: 10.5593/sgem2023/2.1/s08.21
[CrossRef]

[5] Semantics Indoor Navigation Using a Path Finding and Spatial Mapping for Assisting Visually Impaired Person, Asante, Bismark Kweku Asiedu, Imamura, Hiroki, 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS), ISBN 979-8-3503-7333-2, 2024.
Digital Object Identifier: 10.1109/SCISISIS61014.2024.10760133
[CrossRef]

[6] Multi-Region Indoor Localization Based on WVP System, Zhang, Li, Xu, Yi, Bao, Jinhui, Wang, Qiuyu, Xu, Jingao, Li, Danyang, Yang, Yaodong, Zhang, Min, 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS), ISBN 978-1-6654-0878-3, 2021.
Digital Object Identifier: 10.1109/ICPADS53394.2021.00102
[CrossRef]

[7] RSSI - WIFI Based Indoor Position Tracking System Using Support Vector Machine (SVM), Irsan, Ferdian A.S., Aminah, Nina Siti, Djamal, Mitra, 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), ISBN 978-1-6654-7095-7, 2022.
Digital Object Identifier: 10.1109/ICECCME55909.2022.9988134
[CrossRef]

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