Semester
Summer
Date of Graduation
2018
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Lane Department of Computer Science and Electrical Engineering
Committee Chair
Daryl Reynolds
Committee Member
Brian Woerner
Committee Member
Natalia Schmid
Abstract
Indoor positioning system (IPS) is a topic that is coming up more and more for various reasons, such as allowing companies to track important objects using radio frequency identification (RFID) and employees with Bluetooth devices inside a facility. Geofencing is one of the biggest topics with IPS and is meant to limit access to a network in specified areas. Devices that incorporate indoor tracking are not initially precise when objects and employees are on the move. This movement requires devices to have a reliable filter for noise and package lose. For this paper, the comparison between extended Kalman filters and unscented Kalman filter in a controlled environment will help indicate which is ideal for IPS tracking. Both filters will be applied and compared on location accuracy metrics. The proper design of the wireless network is also crucial for having an effective IPS method. This will show the difference in wireless networks and how the initial design will lead to greater chance of success for IPS.
Recommended Citation
Bergman, Matthew R., "Optimizing Indoor Location Based Tracking through Proper Filter Selection and Wireless Sensor Network Design" (2018). Graduate Theses, Dissertations, and Problem Reports. 7499.
https://researchrepository.wvu.edu/etd/7499