Date of Award
8-31-2018
Publication Type
Master Thesis
Degree Name
M.A.Sc.
Department
Electrical and Computer Engineering
Supervisor
Rashidzadeh, Rashid
Supervisor
Muscedere, Roberto
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
Location based applications such as indoor navigation is on the rise. A high resolution indoor positioning algorithm generally requires a server grade computer for implementation. Such a requirement, in turn makes access to a network connection a necessity. This has a potential to become an obstacle for indoor navigation and location-based applications. Performing positioning computations at the user end reduces network dependency for location based applications. However, the positioning algorithms have to be optimized to reduce the computational costs. This work introduces new algorithms for indoor positioning using Bluetooth Low Energy Beacons (BLE) tags with offline capabilities. These algorithms run on smartphones and can achieve accuracies of less than 2-meter error distance.
Recommended Citation
Zaki, Farhan, "Indoor Positioning Algorithms with Offline Positioning Capabilities for Local Positioning Systems" (2018). Electronic Theses and Dissertations. 7590.
https://scholar.uwindsor.ca/etd/7590