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      Hybrid TDOA/RSS based localization for visible light systems

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      Embargo Lift Date: 2022-03-01
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      Author(s)
      Kazıklı, Ertan
      Gezici, Sinan
      Date
      2019
      Source Title
      Digital Signal Processing: A Review Journal
      Print ISSN
      1051-2004
      Publisher
      Elsevier
      Volume
      86
      Pages
      19 - 28
      Language
      English
      Type
      Article
      Item Usage Stats
      229
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      19
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      Abstract
      In a visible light positioning (VLP) system, a receiver can estimate its location based on signals transmitted by light emitting diodes (LEDs). In this manuscript, we investigate a quasi-synchronous VLP system, in which the LED transmitters are synchronous among themselves but are not synchronized with the receiver. In quasi-synchronous VLP systems, position estimation can be performed by utilizing time difference of arrival (TDOA) information together with channel attenuation information, leading to a hybrid localization system. To specify accuracy limits for quasi-synchronous VLP systems, the Cramér–Rao lower bound (CRLB) on position estimation is derived in a generic three-dimensional scenario. Then, a direct positioning approach is adopted to obtain the maximum likelihood (ML) position estimator based directly on received signals from LED transmitters. In addition, a two-step position estimator is proposed, where TDOA and received signal strength (RSS) estimates are obtained in the first step and the position estimation is performed, based on the TDOA and RSS estimates, in the second step. The performance of the two-step positioning technique is shown to converge to that of direct positioning at high signal-to-noise ratios based on asymptotic properties of ML estimation. Finally, CRLBs and performance of the proposed positioning techniques are investigated through simulations.
      Keywords
      Estimation
      Received signal strength (RSS)
      Time difference of arrival (TDOA)
      Localization
      Visible light
      Permalink
      http://hdl.handle.net/11693/52876
      Published Version (Please cite this version)
      https://dx.doi.org/10.1016/j.dsp.2018.12.001
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