- Authors
-
Andrew M. Ladd
Kostas E. Bekris
Algis Rudys
Guillaume Marceau
Lydia E. Kavraki
Dan S. Wallach
- Abstract
-
A key subproblem in the construction of location-aware systems
is the determination of the position of a mobile device.
This paper describes the design, implementation and analysis of
a system for determining position inside a building from
measured RF signal strengths of packets on an IEEE 802.11b
wireless Ethernet network. Previous approaches to
location-awareness with RF signals have been severely hampered
by non-linearity, noise and complex correlations due to
multi-path effects, interference and absorption. The design of
our system begins with the observation that determining position
from complex, noisy and non-linear signals is a well-studied
problem in the field of robotics. Using only off-the-shelf
hardware, we achieve robust position estimation to within a
meter in our experimental context and after adequate training of
our system. We can also coarsely determine our orientation and
can track our position as we move. By applying recent advances
in probabilistic inference of position and sensor fusion from
noisy signals, we show that the RF emissions from base stations
as measured by off-the-shelf wireless Ethernet cards are
sufficiently rich in information to permit a mobile device to
reliably track its location.
- Published
-
The Eighth ACM International Conference on Mobile Computing and
Networking (MOBICOM) (Atlanta, GA), September 2002.
- Download
-
Postscript
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- BibTEX Entry
@InProceedings{mobicom2002localization,
author = "Andrew M. Ladd and Kostas E. Bekris and Algis Rudys and Guillaume Marceau and Lydia E. Kavraki and Dan S. Wallach",
title = "Robotics-Based Location Sensing using Wireless {Ethernet}",
booktitle = "Proceedings of the Eighth ACM International Conference on Mobile Computing and Networking (MOBICOM)",
year = 2002,
address = "Atlanta, GA",
month = sep
}