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An ESPRIT based approach for super-resolution direction finding with partly calibrated or noncoherent sparse array

  • Wensheng Chen*
  • , Xiaojian Xu
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Based on estimation of signal parameter via rotational invariance techniques (ESPRIT), a super-resolution direction of arrival (DOA) estimation approach is developed for partly calibrated or noncoherent sparse array. Numerical results demonstrate that compared with the conventional multiple signal classification (MUSIC) based approaches, the proposed approach performs better under lower signal-to-noise (SNR) and with fewer snapshots, yet with less computational complexity.

Original languageEnglish
Title of host publication2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages925-928
Number of pages4
ISBN (Print)9781457710056
DOIs
StatePublished - 2011
Event2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011 - Vancouver, BC, Canada
Duration: 24 Jul 201129 Jul 2011

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

Conference2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011
Country/TerritoryCanada
CityVancouver, BC
Period24/07/1129/07/11

Keywords

  • Direction of arrival estimation
  • ESPRIT
  • partly calibrated or noncoherent sparse array

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