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Research Article | Open Access |

Improvement of Adaptive Smart Concentric Circular Antenna Array Based Hybrid PSOGSA Optimizer

Author 1: Ahmed Magdy Author 2: Osama M. EL-Ghandour Author 3: Hesham F. A. Hamed
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 6 · Published 2016

DOI: 10.14569/IJACSA.2016.070637

Abstract

Unlike all recent research which used Concentric Circular Antenna Array (CCAA) based on one beam-former for each single main beam, this research presents a technique to adapt smart CCAA by using only single beam-former for multi main beams based on hybrid PSOGSA. Hybrid PSOGSA is a combining technique between Particle Swarm Optimization and Gravitational Search Algorithm which is applied in the feeding of the smart CCAA to enhance its performance. Phase excitation of the array with a large number of elements is suggested for different scenarios based on hybrid PSOGSA and other algorithms such as PSO and GSA in High Altitude Platform (HAP) application. Simulation results proved that hybrid PSOGSA achieves better performance than other optimizers for excitation of the smart CCAA in all scenarios for different parameters like normalized array factor, fitness values, convergence rate, and directivity

Keywords

How to Cite this Article

Magdy, A., EL-Ghandour, O. M., & Hamed, H. F. A. (2016). Improvement of Adaptive Smart Concentric Circular Antenna Array Based Hybrid PSOGSA Optimizer. International Journal of Advanced Computer Science and Applications, 7(6). https://doi.org/10.14569/IJACSA.2016.070637

Magdy, Ahmed, et al.. "Improvement of Adaptive Smart Concentric Circular Antenna Array Based Hybrid PSOGSA Optimizer." International Journal of Advanced Computer Science and Applications, vol. 7, no. 6, 2016, https://doi.org/10.14569/IJACSA.2016.070637.

@article{Magdy2016,
  title     = {Improvement of Adaptive Smart Concentric Circular Antenna Array Based Hybrid PSOGSA Optimizer},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {6},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Ahmed Magdy and Osama M. EL-Ghandour and Hesham F. A. Hamed},
  doi       = {10.14569/IJACSA.2016.070637},
  url       = {https://doi.org/10.14569/IJACSA.2016.070637}
}

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