RIS-aided near-field localization under phase-dependent amplitude variations

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buir.contributor.authorGezici, Sinan
buir.contributor.orcidGezici, Sinan|0000-0002-6369-3081
dc.citation.epage5566en_US
dc.citation.issueNumber8
dc.citation.spage5550
dc.citation.volumeNumber22
dc.contributor.authorOzturk, C.
dc.contributor.authorKeskin, M. F.
dc.contributor.authorWymeersch, H.
dc.contributor.authorGezici, Sinan
dc.date.accessioned2024-03-19T11:08:56Z
dc.date.available2024-03-19T11:08:56Z
dc.date.issued2023-08-14
dc.departmentDepartment of Electrical and Electronics Engineering
dc.description.abstractWe investigate the problem of reconfigurable intelligent surface (RIS)-aided near-field localization of a user equipment (UE) served by a base station (BS) under phase-dependent amplitude variations at each RIS element. Through a misspecified Cramér-Rao bound (MCRB) analysis and a resulting lower bound (LB) on localization, we show that when the UE is unaware of amplitude variations (i.e., assumes unit-amplitude responses), severe performance penalties can arise, especially at high signal-to-noise ratios (SNRs). Leveraging Jacobi-Anger expansion to decouple range-azimuth-elevation dimensions, we develop a low-complexity approximated mismatched maximum likelihood (AMML) estimator, which is asymptotically tight to the LB. To mitigate performance loss due to model mismatch, we propose to jointly estimate the UE location and the RIS amplitude model parameters. The corresponding Cramér-Rao bound (CRB) is derived, as well as an iterative refinement algorithm, which employs the AMML method as a subroutine and alternatingly updates individual parameters of the RIS amplitude model. Simulation results indicate fast convergence and performance close to the CRB. The proposed method can successfully recover the performance loss of the AMML under a wide range of RIS parameters and effectively calibrate the RIS amplitude model online with the help of a user that has an a-priori unknown location.
dc.description.provenanceMade available in DSpace on 2024-03-19T11:08:56Z (GMT). No. of bitstreams: 1 RIS-aided_near-field_localization_under_phase-dependent_amplitude_variations.pdf: 1810536 bytes, checksum: 58414f5c55705a52d7a6597668ded053 (MD5) Previous issue date: 2023-08-01en
dc.identifier.doi10.1109/TWC.2023.3235306
dc.identifier.eissn1558-2248
dc.identifier.issn1536-1276
dc.identifier.urihttps://hdl.handle.net/11693/114973
dc.language.isoEnglish
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.isversionofhttps://dx.doi.org/10.1109/TWC.2023.3235306
dc.source.titleIEEE Transactions on Wireless Communications
dc.subjectLocalization
dc.subjectReconfigurable intelligent surfaces
dc.subjectHardware impairments
dc.subjectMisspecified Cramér-Rao bound (MCRB)
dc.subjectMaximum likelihood estimator
dc.subjectJacobi-Anger expansion.
dc.titleRIS-aided near-field localization under phase-dependent amplitude variations
dc.typeArticle

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