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      • Department of Electrical and Electronics Engineering
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      On the Impact of hardware impairments on RIS-aided localization

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      Author(s)
      Öztürk, Cüneyd
      Keskin, M. F.
      Wymeersch, H.
      Gezici, Sinan
      Date
      2022-05
      Source Title
      IEEE International Conference on Communications
      Publisher
      IEEE
      Pages
      2846 - 2851
      Language
      English
      Type
      Conference Paper
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      Abstract
      We investigate a reconfigurable intelligent surface (RIS)-aided near-field localization system with single-antenna user equipment (UE) and base station (BS) under hardware impairments by considering a practical phase-dependent RIS amplitude variations model. To analyze the localization performance under the mismatch between the practical model and the ideal model with unit-amplitude RIS elements, we employ the misspecified Cramér-Rao bound (MCRB). Based on the MCRB derivation, the lower bound (LB) on the mean-squared error for estimation of UE position is evaluated and shown to converge to the MCRB at low signal-to-noise ratios (SNRs). Simulation results indicate more severe performance degradation due to the model misspecification with increasing SNR. In addition, the mismatched maximum likelihood (MML) estimator is derived and found to be tight to the LB in the high SNR regime. Finally, we observe that the model mismatch can lead to an order-of-magnitude localization performance loss at high SNRs. © 2022 IEEE.
      Keywords
      Hardware impairments
      Intelligent surfaces
      Localization
      Permalink
      http://hdl.handle.net/11693/111614
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