Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/119876
Title: A STUDY ON RECEIVED SIGNAL STRENGTH BASED INDOOR LOCALIZATION
Authors: WANG LEI
Keywords: indoor localization, fingerprinting, received signal strength, device diversity, positioning
Issue Date: 10-Jul-2014
Citation: WANG LEI (2014-07-10). A STUDY ON RECEIVED SIGNAL STRENGTH BASED INDOOR LOCALIZATION. ScholarBank@NUS Repository.
Abstract: WIRELESS LOCALIZATION TECHNOLOGIES HAVE BECOME VERY POPULAR WITH THE INCREASING DEMAND IN VARIOUS LOCATION-AWARE SERVICES. RECEIVED SIGNAL STRENGTH (RSS) BASED LOCALIZATION TECHNIQUES HAVE BEEN EXTENSIVELY EXPLORED DUE TO ITS LOW IMPLEMENTATION COST AND ROBUSTNESS UNDER NON-LINE-OF-SIGHT SITUATIONS. IN THIS THESIS, WE HAVE DIVIDED THE CONTRIBUTION INTO THREE PARTS BASED ON THE KEY PERFORMANCE METRICS IN RSS-BASED LOCALIZATION, I.E. ACCURACY IMPROVEMENT, TRAINING COST ELIMINATION, AND ROBUSTNESS ENHANCEMENT. FIRST, WE HAVE DEVELOPED TWO NEW APPROACHES TO ENHANCE THE ACCURACY, I.E. FUSION APPROACH AND STATISTICAL APPROACH. SECOND, WE HAVE DERIVED AN UNSUPERVISED TRAINING ALGORITHM TO REDUCE THE TRAINING COST IN RSS FINGERPRINT APPROACH. LAST, WE HAVE PROPOSED A POWER-GAP ELIMINATION (PE) ALGORITHM TO MITIGATE THE PERFORMANCE DEGRADATION BROUGHT BY THE INCONSISTENCIES OF MOBILE DEVICES. MOREOVER, WE HAVE FURTHER EXTENDED THE PE ALGORITHM TO MITIGATE THE DETERMINISTIC RSS DEVIATION.
URI: http://scholarbank.nus.edu.sg/handle/10635/119876
Appears in Collections:Ph.D Theses (Open)

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