iNav : a hybrid approach to WiFi localization and tracking of mobile devices
Name
355432846-MIT.pdf
Description
Full printable version
Size
19.14 MB
Format
Adobe PDF
Checksum (MD5)
0e6c5412d042c5af1d7a9afb5a8d7ef7
Author(s)
Popov, Lev, M.Eng. Massachusetts Institute of Technology
Advisor(s)
Samuel Madden.
Alternative Title
Hybrid approach to WiFi localization and tracking of mobile devices
Date Issued
2008
Publisher
Massachusetts Institute of Technology
Abstract
This thesis presents iNav - a hybrid system for 802.11-based localization targeted at low-power mobile devices. WiFi localization enables numerous location-based services and applications without requiring a separate GPS module, thus offering device cost and power consumption savings. iNav is a WiFi localization system targeted at low-power mobile devices, capable of utilizing multiple data sources to produce location estimates with accuracy higher than that of pure WiFi estimates. iNav uses a stochastic location estimation algorithm based on particle filters to integrate streams of WiFi access point observations and 3-axis accelerometer data. The system is tailored towards localization of vehicles and relies on a road network map to increase localization accuracy. iNav is designed with low-power devices in mind, and is capable of computing real-time location estimates on embedded devices like the iPhone.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
Includes bibliographical references (p. 59-60).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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