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A Novel Algorithm to Estimate Closely Spaced Source DOA

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 4 (2017)

DOI
10.11591/ijece.v7i4.pp2109-2115
ISSN
2088-8708, 2088-8708
Published
2017-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

In order to improve resolution and direction of arrival (DOA) estimation of two closely spaced sources, in context of array processing, a new algorithm is presented. However, the proposed algorithm combines both spatial sampling technic to widen the resolution and a high resolution method which is the Multiple Signal Classification (MUSIC) to estimate the DOA of two closely spaced sources impinging on the far-field of Uniform Linear Array (ULA). Simulations examples are discussed to demonstrate the performance and the effectiveness of the proposed approach (referred as Spatial sampling MUSIC SS-MUSIC) compared to the classical MUSIC method when it’s used alone in this context.

Collaboration network of the authors

11 authors · 19 co-authorship links · 5 across different organisations

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  • University of Abou Bekr Belkaïd
  • University of Leicester
  • Université de ain Témouchent
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Mourad HadjilaUniversity of Abou Bekr Belkaïd4
Sihem SouikiUniversité de ain Témouchent2
Mohammed Hicham HachemiUniversity of Abou Bekr Belkaïd1
Haroun Errachid AdardourUniversity of Abou Bekr Belkaïd1
Rachid MerzouguiUniversity of Abou Bekr Belkaïd1
Heyem HamliliUniversity of Abou Bekr Belkaïd1
Abdelhafid AbdelmalekUniversity of Abou Bekr Belkaïd1
Djilali MoussaouiUniversity of Abou Bekr Belkaïd1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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