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 in | Compel Vol. 35; no. 5; pp. 1814 - 1829 | 
|---|---|
| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Bradford
          Emerald Group Publishing Limited
    
        05.09.2016
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 0332-1649 2054-5606  | 
| DOI | 10.1108/COMPEL-08-2015-0299 | 
Cover
| 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. | 
    
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| 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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| Cites_doi | 10.1080/019697298125678 10.2528/PIER05112801 10.1109/TAP.1976.1141417 10.1109/MAP.2010.5638242 10.1109/TAP.2010.2046853 10.1109/TAP.2014.2302440 10.1109/MCOM.2015.7081080 10.1108/COMPEL-11-2012-0334 10.1109/81.246141 10.1080/02726340490496707 10.1109/MCOM.2014.6979962 10.1109/MCOM.2009.4907410 10.1049/el:20020531 10.1109/MCOM.2015.7010533 10.1016/j.chaos.2007.06.018 10.1016/j.chaos.2006.04.057 10.1109/LAWP.2013.2295623 10.1016/j.chaos.2004.11.095 10.1109/TAP.2005.851762 10.1109/TAP.2010.2071361 10.1109/TAP.2005.851871 10.1109/TSP.2015.2474302  | 
    
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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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