Error Mitigation in RSSI-Based Fingerprinting Localization Using Multiple Communication Channels

Authors

Francisco Javier Mora-Becerra, University of Nebraska-LincolnFollow

Date of this Version

Spring 4-2016

Citation

F. J. Mora-Becerra, “Error Mitigation in RSSI-Based Fingerprinting Localization Using Multiple Communication Channels” M.S. thesis, Elec. Engr., University of Nebraska-Lincoln, Lincoln, NE, 2016.

Comments

A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Science, Major: Electrical Engineering, Under the Supervision of Professor Lance C. Pérez. Lincoln, Nebraska: April, 2016

Copyright © 2016 Francisco Javier Mora-Becerra

Abstract

Location data from radio signal strength indication (RSSI) based wireless networks has been used in various applications such as creating smart home behavioral monitoring systems, tracking health care workers for the spread of hospital-associated infections, and providing location-aware tour guide systems. Because RSSI-based systems are inexpensive and can be used with most wireless devices without requiring additional hardware, they are a popular choice for localization. Unfortunately, multipath fading dramatically degrades the performance of an RSSI-based system's ability to locate a target indoors. This thesis endeavors to reduce localization error for RSSI-based fingerprinting localization systems in an indoor environment through frequency diversity by using multiple communication channels. By creating a multichannel fingerprint of the environment using fingerprinting calibration techniques, fine-grained, 5 centimeter, 2-dimensional localization accuracy is achieved in an indoor environment under certain restrictions.

Adviser: Lance C. Pérez