Melola Discovery

← Melola Discovery

Open access Jurnal SINTA 1

Diagnosis of Faulty Sensors in Antenna Array using Hybrid Differential Evolution based Compressed Sensing Technique

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 2 (2017)

DOI
10.11591/ijece.v7i2.pp961-966
ISSN
2088-8708, 2088-8708
Published
2017-04-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

In this work, differential evolution based compressive sensing technique for detection of faulty sensors in linear arrays has been presented. This algorithm starts from taking the linear measurements of the power pattern generated by the array under test. The difference between the collected compressive measurements and measured healthy array field pattern is minimized using a hybrid differential evolution (DE). In the proposed method, the slow convergence of DE based compressed sensing technique is accelerated with the help of parallel coordinate decent algorithm (PCD). The combination of DE with PCD makes the minimization faster and precise. Simulation results validate the performance to detect faulty sensors from a small number of measurements.

Collaboration network of the authors

34 authors · 107 co-authorship links · 42 across different organisations

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

  • University of Technology Malaysia
  • Tun Hussein Onn University of Malaysia
  • Loughborough University
  • Air University
  • Université Rennes 1
  • University of Buner
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Huda A. MajidTun Hussein Onn University of Malaysia11
Farid ZubirUniversity of Technology Malaysia3
Noor Asmawati SamsuriUniversity of Technology Malaysia3
Mohd Fairus Mohd YusoffUniversity of Technology Malaysia2
Samsul Haimi DahlanTun Hussein Onn University of Malaysia2
Zuhairiah Zainal AbidinTun Hussein Onn University of Malaysia2
Bashar A. F. EsmailTun Hussein Onn University of Malaysia2
M. R. HamidUniversity of Technology Malaysia2
Raimi DewanUniversity of Technology Malaysia2
Arrauzah RazakUniversity of Technology Malaysia2
Murtala Aminu-BabaUniversity of Technology Malaysia2
Atif Ellahi Khan KhalilAffiliation unknown2
Sardar AliUniversity of Buner2
Norsaidah Muhamad NadzirUniversity of Technology Malaysia1
Amerrul ZabriUniversity of Technology Malaysia1
Nurul Jannah RamlyUniversity of Technology Malaysia1
Ronan SauleauUniversité Rennes 11
Zaharah JohariUniversity of Technology Malaysia1
Mohamad Aasyraaf Mohd ShaufiTun Hussein Onn University of Malaysia1
Osman AyopTun Hussein Onn University of Malaysia1
Muataz Watheq SabriUniversity of Technology Malaysia1
M. K. A. RahimUniversity of Technology Malaysia1
N. A. EliasUniversity of Technology Malaysia1
Chinthana J. PanagamuwaLoughborough University1
William G. WhittowLoughborough University1
M. Safuan ZainudinUniversity of Technology Malaysia1
Kamilia KamardinUniversity of Technology Malaysia1
Izni Husna IdrisUniversity of Technology Malaysia1
N. S. M. YazizUniversity of Technology Malaysia1
N. S. NadzirUniversity of Technology Malaysia1

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>Diagnosis of Faulty Sensors in Antenna Array using Hybrid Differential Evolution based Compressed Sensing Technique</dc:title><dc:creator>Khan, Shafqat Ullah</dc:creator><dc:creator>Rahim, M. K. A.</dc:creator><dc:creator>Qureshi, I. M.</dc:creator><dc:creator>Murad, N. A.</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;In this work, differential evolution based compressive sensing technique for detection of faulty sensors in linear arrays has been presented. This algorithm starts from taking the linear measurements of the power pattern generated by the array under test. The difference between the collected compressive measurements and measured healthy array field pattern is minimized using a hybrid differential evolution (DE). In the proposed method, the slow convergence of DE based compressed sensing technique is accelerated with the help of parallel coordinate decent algorithm (PCD). The combination of DE with PCD makes the  minimization faster and precise. Simulation results validate the performance to detect faulty sensors from a small number of measurements.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2017-04-01</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.v7i2.pp961-966</dc:identifier><dc:identifier>10.11591/ijece.v7i2.pp961-966</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 7 No 2 (2017); 961</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/6447/6315</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>