PhotonIcs and Electromagnetics Research Symposium,
also known as Progress In Electromagnetics Research Symposium
PIERS Proceedings
PIER Journals
Published by The Electromagnetics Academy
Published: 2015-07-09
Adaptive Beam-forming Optimization Based Hybrid PSOGSA Algorithm for Smart Antennas Systems
By
Osama M. El-Ghandour,
    avatar

    Osama M. El-Ghandour

    Helwan University, Egypt

    Homepage

Hesham F. A. Hamed,
    avatar

    Hesham F. A. Hamed

    Minia University, Egypt

    Homepage

Ahmed Magdy Mohamed
    avatar

    Ahmed Magdy Mohamed

    Helwan University, Egypt

    Homepage

Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)973-977
Abstract
In this paper, a novel technique is presented to enhance the performance analysis of smart antennas systems with different geometries based on Hybrid Particle Swarm Optimiza- tion with Gravitational Search Algorithm (Hybrid PSOGSA) algorithm. Complex excitations (phases) of the array radiation pattern are optimized based on Hybrid PSOGSA algorithm using N elements for a Uniform Circular Array (UCA) geometry. The results are compared with those obtained using Uniform Linear Array (ULA) in the previous work. Simulation and discussion results prove enhancement in performance when using the proposed adaptive strategy based UCA smart antenna for different scenarios even for a big set of simultaneously incident signals in terms of normalized array factor.
Citation
Osama M. El-Ghandour, Hesham F. A. Hamed, and Ahmed Magdy Mohamed, "Adaptive Beam-forming Optimization Based Hybrid PSOGSA Algorithm for Smart Antennas Systems," Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)973-977
References

1. Lehne, P. H. and M. Pettersen, "An overview of smart antenna technology for mobile communications systems," IEEE Commun. Surveys Tutorials, Vol. 2, 2-13, 1999.        Google Scholar

2. Chryssomallis, M., "Smart antennas," IEEE Antennas Propag. Mag., Vol. 42, 129-136, 2000.
doi:10.1109/74.848965        Google Scholar

3. Kennedy, J. and R. Eberhart, "Particle swarm optimization," IEEE International Conference on Neural Networks, Vol. 4, 1942-1948, Perth, Australia, 1995.
doi:10.1007/978-1-4899-7687-1_630        Google Scholar

4. Mahmoud, K. R., M. El-Adawy, R. Bansal, S. H. Zainud-Deen, and S. M. M. Ibrahem, "Analysis of uniform circular arrays for adaptive beamforming applications using particle swarm optimization algorithm," Int. J. of RF and Microwave Computed Aided Eng., Vol. 18, 42-52, 2008.
doi:10.1002/mmce.20265        Google Scholar

5. Formato, R. A., "Central force optimization: A new metaheuristic with applications in applied electromagnetics," Progress In Electromagnetics Research, Vol. 77, 425-491, 2007.
doi:10.2528/pier07082403        Google Scholar

6. Mahmoud, K. R., "Central force optimization: Nelder-Mead hybrid algorithm for rectangular microstrip antenna design," Electromagnetics, Vol. 31, 578-592, 2011.
doi:10.1080/02726343.2011.621110        Google Scholar

7. Rashedi, E., H. Nezamabadi-Pour, and S. Saryazdi, "GSA: A gravitational search algorithm," Information Sciences, Vol. 179, No. 13, 2232-2248, 2009.
doi:10.1016/j.ins.2009.03.004        Google Scholar

8. Chatterjee, A., G. K. Mahanti, and N. N. Pathak, "Comparative performance of gravitational scanned concentric ring array antenna," Progress In Electromagnetics Research B, Vol. 25, 331-348, 2010.
doi:10.2528/pierb10080405        Google Scholar

9. Chatterjee, A., G. K. Mahanti, and P. R. S. Mahapatra, "Design of fully digital controlled reconfigurable dual-beam concentric ring array antenna using gravitational search algorithm," Progress In Electromagnetics Research C, Vol. 18, 59-72, 2011.
doi:10.2528/pierc10101806        Google Scholar

10. Altinoz, O. T. and A. E. Yilmaz, "Calculation of optimized parameters of rectangular patch antenna using gravitational search algorithm," 2011 International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 349-353, 2011.
doi:10.1109/inista.2011.5946090        Google Scholar

11. Mohamed, A. M., K. R. Mahmoud, S. G. Abdel Gawad, and I. I. Ibrahim, "Direction of arrival estimation based on maximum likelihood criteria using gravitational search algorithm," PIERS Proceedings, 1162-1167, Taipei, 2013.        Google Scholar

12. Mahmoud, K. R., "UWB antenna using gravitational search algorithm," Journal of Engineering Sciences, Vol. 41, No. 5, Faculty of Engineering, Assiut University, 2013.        Google Scholar

13. Mahmoud, K. R. and S. Hamad, "Parallel implementation of hybrid GSA-NM algorithm for adaptive beam-forming applications," Progress In Electromagnetics Research B, Vol. 58, 47-57, 2014.
doi:10.2528/pierb13102106        Google Scholar

14. Ram, G., D. Mandal, R. Kar, and S. P. Ghoshal, "Optimized hyper beamforming of linear antenna arrays using collective animal behaviour," The Scientific World Journal, Vol. 2013, 13, 2013.
doi:10.1155/2013/982017        Google Scholar

15. Mirjalili, S. and S. Z. Mohd Hashim, "A new hybrid PSOGSA algorithm for function optimization," IEEE International Conference on Computer and Information Application, ICCIA, 2010.
doi:10.1109/iccia.2010.6141614        Google Scholar

16. Talbi, E. G., "A taxonomy of hybrid metaheuristic," Journal of Heuristics, Vol. 8, No. 5, 541-546, 2002.
doi:10.1023/a:1016540724870        Google Scholar

Download Full Article (PDF ) Wire media illustration
The EM Academy piers.org jpier.org Who’s Who in EM
Copyright © 2021 The Electromagnetics Academy. All Rights Reserved.