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    Robotics-Based Location Sensing based on Wireless Ethernet

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    Author
    Bekris, Kostas E.; Kavraki, Lydia E.; Ladd, Andrew M.; Marceau, Guillaume; Rudys, Algis; More... Wallach, Dan S. Less...
    Date
    April 25, 2002
    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 from measured RF signal strengths in the IEEE 802.11b wireless Ethernet network. Previous approaches in the location-aware field 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. Also, we can 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 reliable track its location.
    Citation
    Bekris, Kostas E., Kavraki, Lydia E., Ladd, Andrew M., et al.. "Robotics-Based Location Sensing based on Wireless Ethernet." (2002) https://hdl.handle.net/1911/96298.
    Type
    Technical report
    Citable link to this page
    https://hdl.handle.net/1911/96298
    Rights
    You are granted permission for the noncommercial reproduction, distribution, display, and performance of this technical report in any format, but this permission is only for a period of forty-five (45) days from the most recent time that you verified that this technical report is still available from the Computer Science Department of Rice University under terms that include this permission. All other rights are reserved by the author(s).
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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map