Research Output

Simultaneous Context Inference and Mapping using mm-Wave for Indoor Scenarios

  We introduce in this paper two approaches for indoor localization using single-anchor and millimeter wave (MMW) propagation characteristics. More precisely, we propose the Triangulateration (TL) and Angle-Difference-of-Arrival (ADoA) techniques to do position estimation for the receiver. Then, we perform context inference through obstacle localization. To do so, we first include and estimate the positions of virtual anchor nodes (VANs), known as mirrors of the real anchor with respect to obstacle, using the proposed TL technique. Then it is followed by estimating the obstacle position and its dimensions. We assess the performance of each technique via cumulative distribution function (CDF) for the location estimation root mean square error (RMSE). Simulations confirm that localization of the receiver relying on a single anchor and the localization of obstacles in MMW achieves a few centimeters accuracy

  • Date:

    27 January 2017

  • Publication Status:

    Accepted

  • Library of Congress:

    TK Electrical engineering. Electronics Nuclear engineering

  • Dewey Decimal Classification:

    621.382 Communications engineering

Citation

Yassin, A., Nasser, Y., Awad, M. & Al-Dubai, A. (in press). Simultaneous Context Inference and Mapping using mm-Wave for Indoor Scenarios

Authors

Keywords

indoor localization, single-anchor and millimeter wave (MMW), position estimation, context inference ,

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