Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/12420
Title: Performance Analysis of a 2d-Music Algorithm for Parametric Near-Field Channel Estimation
Authors: Gurgunoglu, Doga
Kosasih, Alva
Ramezani, Parisa
Demir, Ozlem Tugfe
Bjornson, Emil
Fodor, Gabor
Keywords: Channel Estimation
Antennas
Vectors
Multiple Signal Classification
Aperture Antennas
Parametric Statistics
Lower Bound
Covariance Matrices
Azimuth
Approximation Algorithms
Radiative Near-Field
Aperture Antennas
Music
Channel Estimation
Cram & Eacute
R-Rao Lower Bound
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Abstract: In this letter, we address parametric channel estimation in a multi-user multiple-input multiple-output system within the radiative near-field of the base station array with aperture antennas. We investigate a two-dimensional multiple signal classification algorithm (2D-MUSIC) to estimate both the range and the azimuth angles of arrival for the users' channels, utilizing parametric radiative near-field channel models. We analyze the performance of the algorithm by deriving the Cram & eacute;r-Rao bound (CRB) for parametric estimation, and its effectiveness is compared against the least squares estimator, which is a non-parametric estimator. Numerical results indicate that the 2D-MUSIC algorithm outperforms the least squares estimator. Furthermore, the results demonstrate that the performance of 2D-MUSIC achieves the parametric channel estimation CRB, which shows that the algorithm is asymptotically consistent.
Description: Bjornson, Emil/0000-0002-5954-434X
URI: https://doi.org/10.1109/LWC.2025.3547154
ISSN: 2162-2337
2162-2345
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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