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https://scholarbank.nus.edu.sg/handle/10635/119876
DC Field | Value | |
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dc.title | A STUDY ON RECEIVED SIGNAL STRENGTH BASED INDOOR LOCALIZATION | |
dc.contributor.author | WANG LEI | |
dc.date.accessioned | 2015-06-09T18:00:13Z | |
dc.date.available | 2015-06-09T18:00:13Z | |
dc.date.issued | 2014-07-10 | |
dc.identifier.citation | WANG LEI (2014-07-10). A STUDY ON RECEIVED SIGNAL STRENGTH BASED INDOOR LOCALIZATION. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/119876 | |
dc.description.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. | |
dc.language.iso | en | |
dc.subject | indoor localization, fingerprinting, received signal strength, device diversity, positioning | |
dc.type | Thesis | |
dc.contributor.department | NUS GRAD SCH FOR INTEGRATIVE SCI & ENGG | |
dc.contributor.supervisor | WONG WAI CHOONG, LAWRENCE | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Ph.D Theses (Open) |
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File | Description | Size | Format | Access Settings | Version | |
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WangLei.pdf | 2.61 MB | Adobe PDF | OPEN | None | View/Download |
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