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LTE Positioning Accuracy Performance Evaluation

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (ruSMART 2015, NEW2AN 2015)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 9247))

Abstract

In this paper we investigate the positioning accuracy of user equipment (UE) with observed time difference of arrival (OTDoA) technique in Long Term Evolution (LTE) networks using dedicated positioning reference signal (PRS) by means of comprehensive simulation model. System-level model includes typical cellular network layout with spatially distributed eNodeB (eNB) and link-level model simulates PRS transmission and reception with LTE System Toolbox. Matlab “TDOA Positioning Using PRS example” was developed to include known linear least squares (LLS), nonlinear Gauss-Newton (GN) and Levenberg-Marquardt (LM) positioning algorithms and compare it with Cramer-Rao lower bound (CRLB). Resulting estimates clarify known results and reveal that simple LLS achieves close to LM positioning accuracy when the number of eNB is 6, while further increasing the number of eNB degrades positioning algorithms accuracy.

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Author information

Authors and Affiliations

  1. St. Petersburg State Polytechnical University, St. Petersburg, Russia

    Mstislav Sivers

  2. The Bonch-Bruevich St. Petersburg State University of Telecommunications, St. Petersburg, Russia

    Grigoriy Fokin

Authors
  1. Mstislav Sivers
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  2. Grigoriy Fokin
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Corresponding author

Correspondence to Grigoriy Fokin .

Editor information

Editors and Affiliations

  1. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  2. Tampere University of Technology, Tampere, Finland

    Sergey Andreev

  3. Tampere University of Technology, Tampere, Finland

    Yevgeni Koucheryavy

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© 2015 Springer International Publishing Switzerland

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Sivers, M., Fokin, G. (2015). LTE Positioning Accuracy Performance Evaluation. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2015 2015. Lecture Notes in Computer Science(), vol 9247. Springer, Cham. https://doi.org/10.1007/978-3-319-23126-6_35

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  • DOI: https://doi.org/10.1007/978-3-319-23126-6_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23125-9

  • Online ISBN: 978-3-319-23126-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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