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A Comparison of Faulty Antenna Detection Methodologies in Planar Array

Broadcasting, radar, sonar and space telecommunication systems use phased arrays to produce directed signals to be transmitted at the desired angle. This system requires a large number of antenna elements. The presence of faulty element(s) in an array causes asymmetry, which results in a deformed ra...

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Main Authors: Boopalan N., Ramasamy A.K., Nagi F.
Other Authors: 57211414491
Format: Article
Published: MDPI 2024
Subjects:
failed elements
optimization
particle swarm optimization
pattern search method
planar array
radiation pattern
simulated annealing
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id my.uniten.dspace-34294
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spelling my.uniten.dspace-342942024-10-14T11:18:52Z A Comparison of Faulty Antenna Detection Methodologies in Planar Array Boopalan N. Ramasamy A.K. Nagi F. 57211414491 16023154400 56272534200 failed elements optimization particle swarm optimization pattern search method planar array radiation pattern simulated annealing Broadcasting, radar, sonar and space telecommunication systems use phased arrays to produce directed signals to be transmitted at the desired angle. This system requires a large number of antenna elements. The presence of faulty element(s) in an array causes asymmetry, which results in a deformed radiation pattern with higher sidelobe levels. Higher sidelobe levels indicate waste of energy by transmitting and receiving signals in unwanted directions. Hence, it is important to develop a method that detects faulty elements and corrects the radiation pattern. To correct the failed radiation pattern, failed elements in an array must be identified first. There have been various studies conducted on linear array failed radiation pattern correction and the finding of faulty elements, but investigation on the planar array is limited. Further, the optimization suggested for linear arrays does not necessarily work for the planar array. In this study, planar array faulty antenna detection was developed with pattern search (PS), simulated annealing (SA), and particle swarm optimization (PSO) methods by reducing the Signal to Noise Ratio (SNR) as the objective function. The analysis was varied for 8 � 8 and 6 � 6 planar arrays with different types of failures. The results were compared to find the best method to identify the faulty element�s location in a planar array. The pattern search method produced outstanding results in finding the faulty element�s locations by providing 100% accuracy for all types of failure, while other methods failed to do the same. � 2023 by the authors. Final 2024-10-14T03:18:52Z 2024-10-14T03:18:52Z 2023 Article 10.3390/app13063695 2-s2.0-85152031700 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152031700&doi=10.3390%2fapp13063695&partnerID=40&md5=f639012797d6b655466bb6736e8c1cfc https://irepository.uniten.edu.my/handle/123456789/34294 13 6 3695 All Open Access Gold Open Access MDPI Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic failed elements
optimization
particle swarm optimization
pattern search method
planar array
radiation pattern
simulated annealing
spellingShingle failed elements
optimization
particle swarm optimization
pattern search method
planar array
radiation pattern
simulated annealing
Boopalan N.
Ramasamy A.K.
Nagi F.
A Comparison of Faulty Antenna Detection Methodologies in Planar Array
description Broadcasting, radar, sonar and space telecommunication systems use phased arrays to produce directed signals to be transmitted at the desired angle. This system requires a large number of antenna elements. The presence of faulty element(s) in an array causes asymmetry, which results in a deformed radiation pattern with higher sidelobe levels. Higher sidelobe levels indicate waste of energy by transmitting and receiving signals in unwanted directions. Hence, it is important to develop a method that detects faulty elements and corrects the radiation pattern. To correct the failed radiation pattern, failed elements in an array must be identified first. There have been various studies conducted on linear array failed radiation pattern correction and the finding of faulty elements, but investigation on the planar array is limited. Further, the optimization suggested for linear arrays does not necessarily work for the planar array. In this study, planar array faulty antenna detection was developed with pattern search (PS), simulated annealing (SA), and particle swarm optimization (PSO) methods by reducing the Signal to Noise Ratio (SNR) as the objective function. The analysis was varied for 8 � 8 and 6 � 6 planar arrays with different types of failures. The results were compared to find the best method to identify the faulty element�s location in a planar array. The pattern search method produced outstanding results in finding the faulty element�s locations by providing 100% accuracy for all types of failure, while other methods failed to do the same. � 2023 by the authors.
author2 57211414491
author_facet 57211414491
Boopalan N.
Ramasamy A.K.
Nagi F.
format Article
author Boopalan N.
Ramasamy A.K.
Nagi F.
author_sort Boopalan N.
title A Comparison of Faulty Antenna Detection Methodologies in Planar Array
title_short A Comparison of Faulty Antenna Detection Methodologies in Planar Array
title_full A Comparison of Faulty Antenna Detection Methodologies in Planar Array
title_fullStr A Comparison of Faulty Antenna Detection Methodologies in Planar Array
title_full_unstemmed A Comparison of Faulty Antenna Detection Methodologies in Planar Array
title_sort comparison of faulty antenna detection methodologies in planar array
publisher MDPI
publishDate 2024
_version_ 1814061115088306176
score 13.211869

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