Wi-Fi Fingerprinting Indoor Localization: Recent Approaches and Comparisons

PhD Qualifying Examination


Title: "Wi-Fi Fingerprinting Indoor Localization: Recent Approaches and 
Comparisons"

by

Mr. Suining HE


Abstract:

Indoor location-based service (LBS) has attracted much attention in recent 
years due to its potential social and commercial values. Among the 
localization systems for LBS, Wi-Fi fingerprinting emerges as a promising 
indoor localization technique due to its pervasive and cost-effective 
deployment.

In this survey, we first briefly review the basic operations of Wi-Fi 
fingerprinting localization. We then discuss its recent approaches, which 
can roughly be categorized into advanced pattern recognition, sensor 
fusion and calibration reduction. In pattern recognition, we review 
deterministic, probabilistic and geometry-based algorithms. In sensor 
fusion, we present techniques leveraging other sensors to complement 
existing Wi-Fi fingerprinting to achieve better localization. In 
calibration reduction, we go through some latest approaches to address 
calibration problems in regard to survey density, signal variation and 
device dependency. For each category, we compare the related techniques 
and systems. The goal of this survey is to deliver a better understanding 
of state-of-the-art technologies and present current and new research 
directions in this field.


Date:			Friday, 9 May 2014

Time:                  	10:00am - 12:00noon

Venue:                  Room 5563
                         Lifts 27/28

Committee Members:	Prof. Gary Chan (Supervisor)
  			Prof. James Kwok (Chairperson)
  			Dr. Pan Hui
  			Dr. Raymond Wong


**** ALL are Welcome ****