A Proposed Design Method for Sparse Array Antenna by Using the Spacing Coefficient Algorithm

One of the major challenges in developing various practical communication systems is reducing device complexity and development costs. In this study, a linear sparse array antenna design problem is addressed and a new approach for density taper element spacing by using the spacing coefficient algori...

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Published in:Applied Computational Intelligence and Soft Computing
Main Authors: Efri Sandi, Aodah Diamah, Pitoyo Yuliatmojo, Baso Maruddani
Format: Article
Language:English
Published: Wiley 2022-01-01
Online Access:http://dx.doi.org/10.1155/2022/4050068
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author Efri Sandi
Aodah Diamah
Pitoyo Yuliatmojo
Baso Maruddani
author_facet Efri Sandi
Aodah Diamah
Pitoyo Yuliatmojo
Baso Maruddani
author_sort Efri Sandi
collection DOAJ
container_title Applied Computational Intelligence and Soft Computing
description One of the major challenges in developing various practical communication systems is reducing device complexity and development costs. In this study, a linear sparse array antenna design problem is addressed and a new approach for density taper element spacing by using the spacing coefficient algorithm is proposed. This method is a mathematical approach to obtain the distance between array elements by developing a spacing coefficient dn  for each element to achieve radiation performances with a minimum number of antenna elements. The simulation and measurement results show a significant improvement in array performance compared to other sparse array design methods, such as the CDS sparse array method in our previous work.
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spelling doaj-art-343d51e3d8d440bfa459e359bebbb7082025-08-20T03:55:06ZengWileyApplied Computational Intelligence and Soft Computing1687-97322022-01-01202210.1155/2022/4050068A Proposed Design Method for Sparse Array Antenna by Using the Spacing Coefficient AlgorithmEfri Sandi0Aodah Diamah1Pitoyo Yuliatmojo2Baso Maruddani3Department of Electronics EngineeringDepartment of Electronics EngineeringDepartment of Electronics EngineeringDepartment of Electronics EngineeringOne of the major challenges in developing various practical communication systems is reducing device complexity and development costs. In this study, a linear sparse array antenna design problem is addressed and a new approach for density taper element spacing by using the spacing coefficient algorithm is proposed. This method is a mathematical approach to obtain the distance between array elements by developing a spacing coefficient dn  for each element to achieve radiation performances with a minimum number of antenna elements. The simulation and measurement results show a significant improvement in array performance compared to other sparse array design methods, such as the CDS sparse array method in our previous work.http://dx.doi.org/10.1155/2022/4050068
spellingShingle Efri Sandi
Aodah Diamah
Pitoyo Yuliatmojo
Baso Maruddani
A Proposed Design Method for Sparse Array Antenna by Using the Spacing Coefficient Algorithm
title A Proposed Design Method for Sparse Array Antenna by Using the Spacing Coefficient Algorithm
title_full A Proposed Design Method for Sparse Array Antenna by Using the Spacing Coefficient Algorithm
title_fullStr A Proposed Design Method for Sparse Array Antenna by Using the Spacing Coefficient Algorithm
title_full_unstemmed A Proposed Design Method for Sparse Array Antenna by Using the Spacing Coefficient Algorithm
title_short A Proposed Design Method for Sparse Array Antenna by Using the Spacing Coefficient Algorithm
title_sort proposed design method for sparse array antenna by using the spacing coefficient algorithm
url http://dx.doi.org/10.1155/2022/4050068
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AT efrisandi proposeddesignmethodforsparsearrayantennabyusingthespacingcoefficientalgorithm
AT aodahdiamah proposeddesignmethodforsparsearrayantennabyusingthespacingcoefficientalgorithm
AT pitoyoyuliatmojo proposeddesignmethodforsparsearrayantennabyusingthespacingcoefficientalgorithm
AT basomaruddani proposeddesignmethodforsparsearrayantennabyusingthespacingcoefficientalgorithm

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