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A Two-Step Wideband DOA Estimation Method Based on One-Bit Measurements

  • Chenxi Liao
  • , Qing Shen
  • , Qining Feng
  • , Min Wang
  • , Wei Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper investigates the wideband direction-ofarrival (DOA) estimation problem using one-bit analog-to-digital converters (ADCs). Under the majorization-minimization (MM) framework, pre-quantization data reconstruction is achieved through maximum likelihood estimation, followed by frequency decomposition based on the recovered data to obtain subband signals. The step of pre-quantization data recovery effectively mitigates spectrum distortion induced by one-bit quantization. Then in the second step, a joint weighting wideband generalized sparse iterative covariance estimation method is proposed, achieving improved performance by processing shared information across multiple subbands of interest simultaneously. Simulation results are provided to demonstrate the effectiveness of the proposed two-step one-bit wideband DOA estimation method.

Original languageEnglish
Title of host publication2025 IEEE Workshop on Signal Processing Systems, SiPS 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9798331598310
DOIs
Publication statusPublished - Nov 2025
Event2025 IEEE Workshop on Signal Processing Systems, SiPS 2025 - Hong Kong, Hong Kong
Duration: 1 Nov 20254 Nov 2025

Publication series

Name2025 IEEE Workshop on Signal Processing Systems, SiPS 2025

Conference

Conference2025 IEEE Workshop on Signal Processing Systems, SiPS 2025
Country/TerritoryHong Kong
CityHong Kong
Period1/11/254/11/25

Keywords

  • data recovery
  • joint weighting sparse iterative covariance estimation
  • One-bit quantization
  • wideband direction-ofarrival estimation

ASJC Scopus subject areas

  • Signal Processing

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