Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting
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Other documents of the author: Mendoza-Silva, Germán Martín; Costa, Ana Cristina; Torres-Sospedra, Joaquín; Painho, Marco; Huerta, Joaquin
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
Environment-Aware Regression for Indoor Localization based on WiFi FingerprintingAuthor (s)
Date
2021-04-19Publisher
Institute of Electrical and Electronics Engineers; IEEEISSN
1530-437X; 1558-1748Bibliographic citation
MENDOZA-SILVA, Germán, et al. Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting. IEEE Sensors Journal, 2021.Type
info:eu-repo/semantics/articlePublisher version
https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361Version
info:eu-repo/semantics/acceptedVersionSubject
Abstract
Data enrichment through interpolation or regression is a common approach to deal with sample collection for Indoor Localization with WiFi fingerprinting. This paper provides guidelines on where to collect WiFi samples, ... [+]
Data enrichment through interpolation or regression is a common approach to deal with sample collection for Indoor Localization with WiFi fingerprinting. This paper provides guidelines on where to collect WiFi samples, and proposes a new model for received signal strength regression. The new model creates vectors that describe the presence of obstacles between an access point and the collected samples. The vectors, the distance between the access point and the positions of the samples, and the collected, are used to train a Support Vector Regression. The experiments included some relevant analyses and showed that the proposed model improves received signal strength regression in terms of regression residuals and positioning accuracy. [-]
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1530-437X (c) 2021 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information
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info:eu-repo/semantics/openAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
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