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Time Difference of Arrival Enhancement with Ray Tracing Simulation

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Trends and Advances in Information Systems and Technologies (WorldCIST'18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 745))

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Abstract

A Hybrid technique is proposed to improve the Time Difference of Arrival (TDoA) Localization systems in Non-line of Sight situation. A Ray tracing simulation tool is used to extract the time of arrival difference characteristic from the environment and binding with the TDoA a multilateration sensor scheme to estimate the position of an electromagnetic emitter. The idea was to improve the TDoA sensor performance to overcome multipath imprecision typical in the urban environment, where different rays are sum up at each sensor increasing the error position. The technique proposed uses time Channel Impulse Response estimation and a Ray Tracing propagation tool to build a geographic time difference fingerprint that is used to enhance the performance. A measurement campaign was done to validate the technique and showed an enhancement in the localization precision.

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Authors and Affiliations

  1. Electronic Measurement Research Laboratory, Ilmenau University of Technology, 98693, Ilmenau, Germany

    Marcelo N. de Sousa, Eduardo F. S. Corrêa & Reiner S. Thomä

Authors
  1. Marcelo N. de Sousa
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  2. Eduardo F. S. Corrêa
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  3. Reiner S. Thomä
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Corresponding author

Correspondence to Marcelo N. de Sousa .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. DSI/EEUM, Universidade do Minho, Guimarães, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

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de Sousa, M.N., Corrêa, E.F.S., Thomä, R.S. (2018). Time Difference of Arrival Enhancement with Ray Tracing Simulation. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_108

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  • DOI: https://doi.org/10.1007/978-3-319-77703-0_108

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77702-3

  • Online ISBN: 978-3-319-77703-0

  • eBook Packages: EngineeringEngineering (R0)

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