On the Impact of hardware impairments on RIS-aided localization

buir.contributor.authorÖztürk, Cüneyd
buir.contributor.authorGezici, Sinan
buir.contributor.orcidÖztürk, Cüneyd|0000-0003-3792-9844
dc.citation.epage2851en_US
dc.citation.spage2846en_US
dc.contributor.authorÖztürk, Cüneyd
dc.contributor.authorKeskin, M. F.
dc.contributor.authorWymeersch, H.
dc.contributor.authorGezici, Sinan
dc.date.accessioned2023-02-22T14:08:20Z
dc.date.available2023-02-22T14:08:20Z
dc.date.issued2022-05
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractWe 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.en_US
dc.identifier.urihttp://hdl.handle.net/11693/111614
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.source.titleIEEE International Conference on Communicationsen_US
dc.subjectHardware impairmentsen_US
dc.subjectIntelligent surfacesen_US
dc.subjectLocalizationen_US
dc.titleOn the Impact of hardware impairments on RIS-aided localizationen_US
dc.typeConference Paperen_US

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