Title :
Outdoor Location Estimation Using Received Signal Strength Feedback
Author :
Li, Kejiong ; Jiang, Peng ; Bodanese, Eliane L. ; Bigham, John
Author_Institution :
Sch. of Electron. Eng. & Comput. Sci., Univ. of London, London, UK
fDate :
7/1/2012 12:00:00 AM
Abstract :
An improvement to outdoor fingerprint location estimation based on clustering received signal strength (RSS) from base stations (BSs) is presented. The novel features that contribute to the greater accuracy are the use of deviations from the path loss model for each RSS component rather than the raw RSS for clustering; the accurate estimation of the cluster membership probability; the optimized trade-off between cluster size and accuracy of cluster modeling; and clusters are invariant to the BS or relay station (RS) power.
Keywords :
Global Positioning System; pattern clustering; probability; BS; RS; RSS component; base stations; cluster membership probability; cluster size; clustering received signal strength feedback; outdoor fingerprint location estimation; path loss model; relay station power; Accuracy; Data models; Estimation; Mathematical model; Training; Training data; Wireless LAN; Location estimation; clustering; fingerprint;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2012.050912.111805
