Radiation pattern synthesis using a chaotic beamforming algorithm

Purpose The purpose of this paper is to use the proposed algorithm for the fast adaptation of the antenna array radiation pattern on the particular scenario of the incoming signals. The fitness function to be minimized includes the precise estimation of signals’ arrival angles, setting the deep null...

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Published inCompel Vol. 35; no. 5; pp. 1814 - 1829
Main Authors Jovanović, Ana, Lazović, Luka, Rubežić, Vesna
Format Journal Article
LanguageEnglish
Published Bradford Emerald Group Publishing Limited 05.09.2016
Subjects
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ISSN0332-1649
2054-5606
DOI10.1108/COMPEL-08-2015-0299

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Abstract Purpose The purpose of this paper is to use the proposed algorithm for the fast adaptation of the antenna array radiation pattern on the particular scenario of the incoming signals. The fitness function to be minimized includes the precise estimation of signals’ arrival angles, setting the deep nulls in the directions of the interfering signal, the reduction of the main lobe’s width and the reduction of side lobes. Design/methodology/approach Unlike conventional adaptive algorithms, the proposed algorithm allows synthesis of radiation patterns in the case of a larger number of incident desired and interfering signals. The proposed method also reduces the width of the dead zone. Findings In this paper a comparison of the results obtained from the chaotic beamforming algorithm with the results obtained by using the Sequential Quadratic Programming method is presented. Originality/value The chaotic beamforming algorithm is proposed here. It is based on the optimization of the least mean square and on the variable step-size least mean square algorithms, using chaos theory for synthesis of the radiation pattern of the linear antenna array.
AbstractList PurposeThe purpose of this paper is to use the proposed algorithm for the fast adaptation of the antenna array radiation pattern on the particular scenario of the incoming signals. The fitness function to be minimized includes the precise estimation of signals’ arrival angles, setting the deep nulls in the directions of the interfering signal, the reduction of the main lobe’s width and the reduction of side lobes.Design/methodology/approachUnlike conventional adaptive algorithms, the proposed algorithm allows synthesis of radiation patterns in the case of a larger number of incident desired and interfering signals. The proposed method also reduces the width of the dead zone.FindingsIn this paper a comparison of the results obtained from the chaotic beamforming algorithm with the results obtained by using the Sequential Quadratic Programming method is presented.Originality/valueThe chaotic beamforming algorithm is proposed here. It is based on the optimization of the least mean square and on the variable step-size least mean square algorithms, using chaos theory for synthesis of the radiation pattern of the linear antenna array.
Purpose The purpose of this paper is to use the proposed algorithm for the fast adaptation of the antenna array radiation pattern on the particular scenario of the incoming signals. The fitness function to be minimized includes the precise estimation of signals’ arrival angles, setting the deep nulls in the directions of the interfering signal, the reduction of the main lobe’s width and the reduction of side lobes. Design/methodology/approach Unlike conventional adaptive algorithms, the proposed algorithm allows synthesis of radiation patterns in the case of a larger number of incident desired and interfering signals. The proposed method also reduces the width of the dead zone. Findings In this paper a comparison of the results obtained from the chaotic beamforming algorithm with the results obtained by using the Sequential Quadratic Programming method is presented. Originality/value The chaotic beamforming algorithm is proposed here. It is based on the optimization of the least mean square and on the variable step-size least mean square algorithms, using chaos theory for synthesis of the radiation pattern of the linear antenna array.
Author Lazović, Luka
Jovanović, Ana
Rubežić, Vesna
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CitedBy_id crossref_primary_10_1108_COMPEL_03_2021_0089
crossref_primary_10_1108_COMPEL_11_2017_0496
crossref_primary_10_3390_en12214209
crossref_primary_10_5937_tehnika2001057F
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SubjectTerms Adaptation
Adaptive algorithms
Algorithms
Angle of arrival
Antenna arrays
Antenna radiation patterns
Arrays
Beamforming
Chaos theory
Fitness
Optimization algorithms
Quadratic programming
Radiation
Sidelobe reduction
Sidelobes
Synthesis
Variables
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