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Tensorial Hankel Reconstruction for Multi-Frequency Sparse Array with Sensor Failure

  • Youhao Kong
  • , Qing Shen
  • , Qining Feng
  • , Chenxi Liao
  • , Wei Liu

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

Abstract

A tensorial Hankel reconstruction method for underdetermined direction of arrival (DOA) estimation with multifrequency sparse arrays is proposed in this paper. Firstly, virtual arrays are extended into a uniform linear array (ULA) across all frequencies and structured as a 3-D tensor. Then, it is transformed into a 4-D Hankel representation via spatial dimension augmentation, where missing elements are dispersed while dimensional information is enriched. After low-rank tensor completion, the restored 4-D Hankel tensor is inversely mapped to the 3-D space for DOA estimation. Simulation results are provided to verify the effectiveness of the proposed method in handling severe data loss from sensor failures.

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

  • multiple frequency
  • sensor failure
  • Sparse array
  • tensorial Hankel reconstruction
  • underdetermined direction-of-arrival estimation

ASJC Scopus subject areas

  • Signal Processing

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