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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