Indoor Localization Based on Floor Plans and Power Maps
An indoor localization algorithm that is based on fingerprinting and trilateration is developed. The algorithm assumes a priori knowledge of the layout of the environment and the position of the transmitters. First, a power map is simulated around “strategically” sampled training points. Then, the p...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | conferenceObject |
| منشور في: |
2015
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/11221 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.ion.org/publications/abstract.cfm?articleID=12999 |
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| _version_ | 1864513488381018112 |
|---|---|
| author | Khalifeh, Joe J. |
| author2 | Kassas, Zaher M. Saab, Samer S. |
| author2_role | author author |
| author_facet | Khalifeh, Joe J. Kassas, Zaher M. Saab, Samer S. |
| author_role | author |
| dc.creator.none.fl_str_mv | Khalifeh, Joe J. Kassas, Zaher M. Saab, Samer S. |
| dc.date.none.fl_str_mv | 2015 2019-08-22T09:57:05Z 2019-08-22T09:57:05Z 2019-08-22 |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/11221 Khalife, J., Kassas, Z., & Saab, S. (2015, September). Indoor localization based on floor plans and power maps: Non-line of sight to virtual line of sight. In Proceedings of ION GNSS Conference (pp. 2291-2300). http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.ion.org/publications/abstract.cfm?articleID=12999 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Institute of Navigation |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Artificial satellites in navigation -- Congresses |
| dc.title.none.fl_str_mv | Indoor Localization Based on Floor Plans and Power Maps Non-Line of Sight to Virtual Line of Sight |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | An indoor localization algorithm that is based on fingerprinting and trilateration is developed. The algorithm assumes a priori knowledge of the layout of the environment and the position of the transmitters. First, a power map is simulated around “strategically” sampled training points. Then, the power map is used to produce an initial estimate for the position of the receiver, from which the total losses due to obstacles in the environment are calculated. These losses are extracted from the received power, transforming the non line-of-sight environment to a virtual line-of-sight one. The position of the receiver is finally obtained from the distances estimated from the corrected power by an extended Kalman filter. Numerical simulations and experimental results are presented to evaluate the performance of the proposed algorithm. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_354effeaf69a53d98c082e59ef3ff3e1 |
| identifier_str_mv | Khalife, J., Kassas, Z., & Saab, S. (2015, September). Indoor localization based on floor plans and power maps: Non-line of sight to virtual line of sight. In Proceedings of ION GNSS Conference (pp. 2291-2300). |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/11221 |
| publishDate | 2015 |
| publisher.none.fl_str_mv | Institute of Navigation |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Indoor Localization Based on Floor Plans and Power MapsNon-Line of Sight to Virtual Line of SightKhalifeh, Joe J.Kassas, Zaher M.Saab, Samer S.Artificial satellites in navigation -- CongressesAn indoor localization algorithm that is based on fingerprinting and trilateration is developed. The algorithm assumes a priori knowledge of the layout of the environment and the position of the transmitters. First, a power map is simulated around “strategically” sampled training points. Then, the power map is used to produce an initial estimate for the position of the receiver, from which the total losses due to obstacles in the environment are calculated. These losses are extracted from the received power, transforming the non line-of-sight environment to a virtual line-of-sight one. The position of the receiver is finally obtained from the distances estimated from the corrected power by an extended Kalman filter. Numerical simulations and experimental results are presented to evaluate the performance of the proposed algorithm.N/AIncludes bibliographical referencesInstitute of Navigation2019-08-22T09:57:05Z2019-08-22T09:57:05Z20152019-08-22Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10725/11221Khalife, J., Kassas, Z., & Saab, S. (2015, September). Indoor localization based on floor plans and power maps: Non-line of sight to virtual line of sight. In Proceedings of ION GNSS Conference (pp. 2291-2300).http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://www.ion.org/publications/abstract.cfm?articleID=12999eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/112212021-03-19T10:47:36Z |
| spellingShingle | Indoor Localization Based on Floor Plans and Power Maps Khalifeh, Joe J. Artificial satellites in navigation -- Congresses |
| status_str | publishedVersion |
| title | Indoor Localization Based on Floor Plans and Power Maps |
| title_full | Indoor Localization Based on Floor Plans and Power Maps |
| title_fullStr | Indoor Localization Based on Floor Plans and Power Maps |
| title_full_unstemmed | Indoor Localization Based on Floor Plans and Power Maps |
| title_short | Indoor Localization Based on Floor Plans and Power Maps |
| title_sort | Indoor Localization Based on Floor Plans and Power Maps |
| topic | Artificial satellites in navigation -- Congresses |
| url | http://hdl.handle.net/10725/11221 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.ion.org/publications/abstract.cfm?articleID=12999 |