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Performance analysis of direction of arrival algorithms for Smart Antenna

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 9 No. 6 (2019)

DOI
10.11591/ijece.v9i6.pp4873-4881
ISSN
2088-8708, 2088-8708
Published
2019-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

This paper presents the performance analysis of the direction of arrival estimation algorithms such as Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Multiple Signal Classification (MUSIC), Weighted Subspace Fitting (WSF), The Minimum Variance Distortionless Response (MVDR or capon) and beamspace. These algorithms are necessary to overcome the problem of detecting the arrival angles of the received signals in wireless communication. Therefore, these algorithms are evaluated and compared according to several constraints required in smart antenna system parameters, as the number of array elements, number of samples (snapshots), and number of the received signals. The main purpose of this study is to obtain the best estimation of the direction of arrival, which can be perfectly implemented in a smart antenna system. In this context, the ROOT-Weighted Subspace Fitting algorithm provides the most accurate detection of arrival angles in each of the proposed scenarios.

Collaboration network of the authors

23 authors · 56 co-authorship links · 7 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Hassan II Casablanca
  • Abdelmalek Essaâdi University
  • Université Hassan 1er
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Abdelhakim BalloukUniversity of Hassan II Casablanca8
Ilham El MourabitUniversity of Hassan II Casablanca4
Ikram DaanouneUniversity of Hassan II Casablanca3
Sara El MattarUniversity of Hassan II Casablanca3
Hamid BouyghfUniversity of Hassan II Casablanca3
Souad AkkaderUniversity of Hassan II Casablanca3
Imane AssiniUniversity of Hassan II Casablanca3
Jihane OuchrifUniversity of Hassan II Casablanca3
Abir ZaidiUniversity of Hassan II Casablanca2
Salmi HassanUniversity of Hassan II Casablanca2
Mourad ZegrariUniversity of Hassan II Casablanca2
Baghdad AbdenaceurAffiliation unknown2
Abdelhadi Eloudrhiri HassaniUniversity of Hassan II Casablanca2
Hicham QaboucheUniversity of Hassan II Casablanca2
Yassine GmihUniversité Hassan 1er1
Aziz DkiouakAbdelmalek Essaâdi University1
Nourdine HerbazUniversity of Hassan II Casablanca1
Hassan El IdrissiUniversity of Hassan II Casablanca1
Hamza SabirUniversity of Hassan II Casablanca1

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
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Performance analysis of direction of arrival algorithms for Smart Antenna</dc:title><dc:creator>Boustani, Btissam</dc:creator><dc:creator>Baghdad, Abdennaceur</dc:creator><dc:creator>Sahel, Aicha</dc:creator><dc:creator>Badri, Abdelmajid</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;p&amp;gt;This paper presents the performance analysis of the direction of arrival estimation algorithms such as Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Multiple Signal Classification (MUSIC), Weighted Subspace Fitting (WSF), The Minimum Variance Distortionless Response (MVDR or capon) and beamspace. These algorithms are necessary to overcome the problem of detecting the arrival angles of the received signals in wireless communication. Therefore, these algorithms are evaluated and compared according to several constraints required in smart antenna system parameters, as the number of array elements, number of samples (snapshots), and number of the received signals. The main purpose of this study is to obtain the best estimation of the direction of arrival, which can be perfectly implemented in a smart antenna system. In this context, the ROOT-Weighted Subspace Fitting algorithm provides the most accurate detection of arrival angles in each of the proposed scenarios.&amp;lt;/p&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2019-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v9i6.pp4873-4881</dc:identifier><dc:identifier>10.11591/ijece.v9i6.pp4873-4881</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 9 No 6 (2019); 4873</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/14199/13310</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>