NEAT-MUSIC: auto-calibration of DOA estimation for Terahertz-band massive MIMO systems
NEAT-MUSIC: auto-calibration of DOA estimation for Terahertz-band massive MIMO systems
Terahertz (THz) band is envisioned for the future sixth generation wireless systems thanks to its abundant bandwidth and very narrow beamwidth. These features are one of the key enabling factors for high resolution sensing with milli-degree level direction-of-arrival (DOA) estimation. Therefore, this letter investigates the DOA estimation problem in THz systems in the presence of two major error sources: 1) gain-phase mismatches, which occur due to the deviations in the radio-frequency circuitry; 2) beam-squint, which is caused because of the deviations in the generated beams at different subcarriers due to ultra-wide bandwidth. An auto-calibration approach, namely NoisE subspAce correcTion technique for MUltiple SIgnal Classification (NEAT-MUSIC), is proposed based on the correction of the noise subspace for accurate DOA estimation in the presence of gain-phase mismatches and beam-squint. To gauge the performance of the proposed approach, the Cramér-Rao bounds are also derived. Numerical results show the effectiveness of the proposed approach.
Array calibration, beam-squint, DOA estimation, gain-phase mismatch, Terahertz
451-455
Elbir, Ahmet M.
e6ed2099-e755-4a39-ab80-d79bd1a53082
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Eltawil, Ahmed M.
5eb9e965-5ec8-4da1-baee-c3cab0fb2a72
1 February 2024
Elbir, Ahmet M.
e6ed2099-e755-4a39-ab80-d79bd1a53082
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Eltawil, Ahmed M.
5eb9e965-5ec8-4da1-baee-c3cab0fb2a72
Elbir, Ahmet M., Celik, Abdulkadir and Eltawil, Ahmed M.
(2024)
NEAT-MUSIC: auto-calibration of DOA estimation for Terahertz-band massive MIMO systems.
IEEE Wireless Communications Letters, 13 (2), .
(doi:10.1109/LWC.2023.3331945).
Abstract
Terahertz (THz) band is envisioned for the future sixth generation wireless systems thanks to its abundant bandwidth and very narrow beamwidth. These features are one of the key enabling factors for high resolution sensing with milli-degree level direction-of-arrival (DOA) estimation. Therefore, this letter investigates the DOA estimation problem in THz systems in the presence of two major error sources: 1) gain-phase mismatches, which occur due to the deviations in the radio-frequency circuitry; 2) beam-squint, which is caused because of the deviations in the generated beams at different subcarriers due to ultra-wide bandwidth. An auto-calibration approach, namely NoisE subspAce correcTion technique for MUltiple SIgnal Classification (NEAT-MUSIC), is proposed based on the correction of the noise subspace for accurate DOA estimation in the presence of gain-phase mismatches and beam-squint. To gauge the performance of the proposed approach, the Cramér-Rao bounds are also derived. Numerical results show the effectiveness of the proposed approach.
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More information
Accepted/In Press date: 7 November 2023
e-pub ahead of print date: 10 November 2023
Published date: 1 February 2024
Keywords:
Array calibration, beam-squint, DOA estimation, gain-phase mismatch, Terahertz
Identifiers
Local EPrints ID: 505752
URI: http://eprints.soton.ac.uk/id/eprint/505752
ISSN: 2162-2337
PURE UUID: db5af062-c887-406b-bc4f-76e9d0dda203
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Date deposited: 17 Oct 2025 16:40
Last modified: 18 Oct 2025 02:18
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Contributors
Author:
Ahmet M. Elbir
Author:
Abdulkadir Celik
Author:
Ahmed M. Eltawil
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