NEAT-MUSIC: Auto-Calibration of DOA Estimation for Terahertz-Band Massive MIMO Systems

Research output: Contribution to journalArticlepeer-review

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 paper 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.

Original languageEnglish (US)
Pages (from-to)1
Number of pages1
JournalIEEE Wireless Communications Letters
Volume13
Issue number2
DOIs
StateAccepted/In press - 2023

Bibliographical note

Publisher Copyright:
IEEE

Keywords

  • Array calibration
  • beam-squint
  • Calibration
  • Direction-of-arrival estimation
  • DOA estimation
  • Estimation
  • gain-phase mismatch
  • Multiple signal classification
  • Phase shifters
  • Radio frequency
  • Sensors
  • Terahertz

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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