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Diagnosis of Faulty Elements in Array Antenna using Nature Inspired Cuckoo Search Algorithm

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 3 (2018)

DOI
10.11591/ijece.v8i3.pp1870-1874
ISSN
2088-8708, 2088-8708
Published
2018-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Detection and correction of faulty elements in a linear array have great importance in radar, sonar, mobile communications and satellite. Due to single element failure, the whole radiation pattern damage in terms of side lobes level and nulls. Once we have detect the position of defective element, then correction method is applied to achieve the desired pattern. In this work, we introduce a nature inspired meta-heuristic cuckoo search algorithm to diagnose the position of defective elements in a linear array. The nature inspired cuckoo search algorithm is new to the optimization family and is used first time for fault detection in an array antenna. Cuckoo search algorithm is a global search optimization technique. The cost function is used as a fitness function which defines an error between the degraded far field power pattern and the estimated one. The proposed technique is used effectively for the diagnosis of complete, as well as, for partial faulty elements position. Different simulation results are evaluated for 40 elements Taylor pattern to validate and check the performance of the proposed technique.

Collaboration network of the authors

32 authors · 104 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
  • University of Buner
  • Université Rennes 1
  • Air University
  • 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 Malaysia10
Farid ZubirUniversity of Technology Malaysia3
Noor Asmawati SamsuriUniversity of Technology Malaysia3
Noor Asniza MuradUniversity 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
I. M. QureshiAir University2
Norsaidah Muhamad NadzirUniversity of Technology Malaysia1
Amerrul ZabriUniversity of Technology Malaysia1
Nurul Jannah RamlyUniversity of Technology Malaysia1
Arrauzah RazakUniversity 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
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
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