Ubiquitous Communications and Network Computing. 4th EAI International Conference, UBICNET 2021, Virtual Event, March 2021, Proceedings

Research Article

A Leading Edge Detection Algorithm for UWB Based Indoor Positioning Systems

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  • @INPROCEEDINGS{10.1007/978-3-030-79276-3_4,
    author={Sreenivasulu Pala and Dhanesh G. Kurup},
    title={A Leading Edge Detection Algorithm for UWB Based Indoor Positioning Systems},
    proceedings={Ubiquitous Communications and Network Computing. 4th EAI International Conference, UBICNET 2021, Virtual Event, March 2021, Proceedings},
    proceedings_a={UBICNET},
    year={2021},
    month={7},
    keywords={UWB Indoor positioning system Leading-edge detection},
    doi={10.1007/978-3-030-79276-3_4}
}
  • Sreenivasulu Pala
    Dhanesh G. Kurup
    Year: 2021
    A Leading Edge Detection Algorithm for UWB Based Indoor Positioning Systems
    UBICNET
    Springer
    DOI: 10.1007/978-3-030-79276-3_4
Sreenivasulu Pala1,*, Dhanesh G. Kurup1
  • 1: RF and Wireless Systems Laboratory, Department of Electronics and Communication Engineering, Amrita School of Engineering
*Contact email: p_sreenivasulu@blr.amrita.edu

Abstract

Ultra-wide band (UWB) based indoor positioning systems are preferred for accurate positioning applications due to the high time resolution offered by UWB signals. This paper proposes an algorithm for determining the leading edge of UWB signal for indoor positioning applications and assess its performance in different signal-to-noise ratio (SNR) conditions. We found that the proposed algorithm outperforms the previously published methods, especially under low SNR situations. The performance of the algorithm can be further increased with an additional number of anchor nodes.

Keywords
UWB, Indoor positioning system, Leading-edge detection
Published
2021-07-06
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-79276-3_4
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