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Optimization of Antenna Arrays for SLL Reduction Towards ...
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由 S Das 著作2015被引用 6 次 — In this paper, as a first example, optimization of linear antenna arrays with dipole element pattern is exemplified for side lobe (SLL) reduction with fixed ...
Optimization of Antenna Arrays for SLL Reduction Towards ...
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The results show good outcome with respect to side lobe reduction and directivity. Published in: 2015 IEEE Symposium Series on Computational Intelligence.
Optimization of Antenna Arrays for SLL Reduction Towards ...
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In this paper, as a first example, optimization of linear antenna arrays with dipole element pattern is exemplified for side lobe (SLL) reduction with fixed ...
Optimization of Antenna Arrays for SLL Reduction Towards ...
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https://www.academia.edu › Optimizati...
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In this paper, we propose the use of Genetic Algorithm (GA) to perform the adaptation control of the system parameters under dynamically changing environments.
[PDF] Optimization of Antenna Arrays for SLL Reduction Towards ...
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Non-dominated sorting genetic algorithm II (NSGA2) is considered as the optimization algorithm for SLL reduction and fixed main-lobe directivity for ...
Optimization of Antenna Arrays for SLL Reduction Towards Pareto
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Bibliographic details on Optimization of Antenna Arrays for SLL Reduction Towards Pareto Objectivity Using GA Variants.
Sudipta Das
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Optimal sidelobe reduction of symmetric linear antenna array using genetic algorithm. S Das, S Bhattacherjee, D Mandal, AK Bhattacharjee. 2010 Annual IEEE India ...
Pragnan Chakravorty, PhD
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Optimization of antenna arrays for SLL reduction towards Pareto objectivity using GA variants. S Das, GR Hardel, P Chakravorty, D Mandal, R Kar, SP Ghoshal ...
(PDF) Optimization of linear antenna array for low SLL and ...
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This work focuses on optimal synthesis of a linear array to achieve narrower half-power beam width, reduced side-lobe levels, and nulls control as per the ...
PARETO OPTIMAL YAGI-UDA ANTENNA DESIGN US
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由 SK Goudos 著作2010被引用 50 次 — The second way is to use Pareto optimization, which means to optimize all the objectives simultaneously giving them equal importance. If none of the objective ...