Abstract

In array processing, if a few elements are turned off or malfunctioned, signal information and array resolution will degrade. Considerable research has been conducted to develop algorithms that can estimate the missing array data. In this paper, a data recovery method based on matrix completion (MC) theory is proposed. This approach utilizes the redundant information among array elements to recover the missing data. We verify the validity of our method using simulation.

Original languageEnglish (US)
Title of host publicationProceedings of the IASTED International Conference Modelling, Identification and Control, MIC 2017
PublisherActa Press
Pages133-137
Number of pages5
Volume848
ISBN (Electronic)9780889869882
DOIs
StatePublished - 2017
Event2017 IASTED International Conference on Modelling, Identification and Control, MIC 2017 - Innsbruck, Austria
Duration: Feb 20 2017Feb 21 2017

Other

Other2017 IASTED International Conference on Modelling, Identification and Control, MIC 2017
CountryAustria
CityInnsbruck
Period2/20/172/21/17

Keywords

  • Sensor Array Processing
  • Sensor Failures
  • Signal Recovery

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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  • Cite this

    Fan, J., Spanias, A., & Tepedelenlioglu, C. (2017). A signal recovery method for array processing. In Proceedings of the IASTED International Conference Modelling, Identification and Control, MIC 2017 (Vol. 848, pp. 133-137). Acta Press. https://doi.org/10.2316/P.2017.848-059