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Spatio-temporal (S-T) similarity model for constructing WIFI-based RSSI fingerprinting map for indoor localization
2014
2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
WIFI-based received signal strength indicator (RSSI) fingerprinting is widely used for indoor localization due to desirable features such as universal availability, privacy protection, and low deployment cost. The key of RSSI fingerprinting is to construct a trustworthy RSSI map, which contains the measurements of received access point (AP) signal strengths at different calibration points. Location can be estimated by matching live RSSIs with the RSSI map. However, a fine-grained map requires
doi:10.1109/ipin.2014.7275543
dblp:conf/ipin/ZhuZXL14
fatcat:sq4vgwcf5jfx3aqb2vazrtmfwa