Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/23718
Title: An indoor positioning system based on robust location fingerprint for Wi-Fi and Bluetooth
Authors: HOSSAIN A.K.M. MAHTAB
Keywords: Positioning System, Location Fingerprint, Wi-Fi, Bluetooth, User Feedback, Signal Strength Difference
Issue Date: 10-Dec-2009
Citation: HOSSAIN A.K.M. MAHTAB (2009-12-10). An indoor positioning system based on robust location fingerprint for Wi-Fi and Bluetooth. ScholarBank@NUS Repository.
Abstract: A desirable indoor positioning system should be characterized by good accuracy, short training phase, cost-effectiveness (using off-the-shelf hardware), and robustness in the face of previously unobserved conditions. This dissertation aims to achieve an indoor positioning system that accomplishes all these requirements. First, the current signal strength based location fingerprints regarding two well-known RF technologies, namely, Wi-Fi and Bluetooth are elaborately discussed. As it will be explained, their RF signal parameters have specific purposes that render them inappropriate for consideration as location fingerprints. Subsequently, a robust location fingerprint, the Signal Strength Difference (SSD) is derived analytically, and then verified experimentally as well. A simple linear regression interpolation technique, and the application of user feedback to facilitate under-trained positioning systems have also been investigated. These techniques reduce the training time and effort. The results of two well-known localization algorithms (K-Nearest Neighbor and Bayesian Inference) are presented when the proposed ideas are implemented.
URI: http://scholarbank.nus.edu.sg/handle/10635/23718
Appears in Collections:Ph.D Theses (Open)

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