Okoniewski, MichalNielsen, JohnLesser, Andrew M.2012-09-132012-11-132012-09-132012http://hdl.handle.net/11023/210Indoor wireless localization systems have gained considerable interest in the past decade with the wide spread implementation of affordable wireless networks throughout indoor environments. Many organizations have employed these systems to track people, equipment, and merchandise in an effort to reduce operating costs which can include loss or theft, inventory, and efficient utilization of time sensitive assets. The complex, indoor radio frequency propagation environment introduces many challenges for wireless location systems. In particular, the large and small scale fading of signals introduces uncertainties in the location dependence of radio frequency measurements. This thesis explores two approaches to mapping the above location dependency of measurements with the primary focus on reducing the time required for extensive environment calibration. The formulation of proposed location estimation algorithms and calibration approaches will be presented. A radio frequency device affixed to a mock hospital asset will be used as a real world example to validate the algorithms.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Engineering--Electronics and ElectricalWireless Indoor Location EstimationReceived Signal Strength802.11 WLANRadio Map AnnealingFingerprintingHidden Markov ModelsGeneralized Expectation-MaximizationKernel Density Estimationmaster thesis10.11575/PRISM/24797