WSEAS Transactions on Communications


Print ISSN: 1109-2742
E-ISSN: 2224-2864

Volume 16, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



Synthesis of 1D and 2 D Multi-Beam Annular Microstrip Antenna Arrays by Adaptive Particle Swarm Optimization for TM11 and TM12

AUTHORS: Hichem Chaker, Mehadji Abri, Hadjira Abri Badaoui

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ABSTRACT: This paper describes the original results obtained in the field of multi-beam annular ring antenna array pattern synthesis for the modes TM11 and TM12, by applying an iterative algorithm for phased arrays, which is able to produce low side-lobe level patterns with multiple prescribed main lobes. The proposed method is based on the adaptive particle swarm optimization algorithm. This solution is characterized by its simple implementation and a reduced computational time to achieve the desired radiation patterns. These advantages make the presented algorithm suitable for a wide range of communication systems. The original results obtained in the field of antenna array pattern synthesis are presented and, several illustrative examples are simulated to verify the validity of the proposed method.

KEYWORDS: Adaptive Particle Swarm Optimizer, Synthesis, Annular Ring Microstrip antenna, Multibeam Linear and Planar Antenna Arrays.

REFERENCES:

[1] R. J. Mailloux, Phased Array Antenna Handbook, Artech House, Boston, 2005.

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[3] G. A. Deschamps, Microstrip Microwave Antennas, Proc. 3rd USAF Symposium on Antennas, 1953.

[4] H. Chaker, S M. Meriah and F T. Bendimerad, One and Two Dimensions Unequally Array Pattern Synthesis with the use of a Modified Particle Swarm Optimization Algorithm, WSEAS Transactions on Communications, Vol. 11, Issue 6, 2012, pp.207-217.

[5] H. Chaker, SM. Meriahand F T. Bendimerad, Optimization of Micro Strip Array Antennas Using Hybrid Particle Swarm Optimizer with Breeding and Subpopulation for Maximum Side Lobe Reduction, RADIOENGINEERING, VOL.17, No.4, 2008, pp. 39-44.

[6] H. Chaker, SM. Meriahand F T. Bendimerad, Synthesis of Multibeam Antennas Arrays with a Modified Particle Swarm Optimization Algorithm, The International Arab Journal of Information Technology, Vol.7, No.3, 2010, pp.250-255.

[7] H. Chaker, Null Steering and Multi-beams Design by Complex Weight of antennas Array with the use of APSO-GA, WSEAS Transactions on Communications, Vol. 13, Issue 1, 2014, pp.99-108.

[8] M. Abri, N. Boukli-hacene and F.T. Bendimerad, Ring Printed Antennas Arrays Mediterranean Microwave Symposiummms’2004, Marseille, France, 06- 2004.

[9] R. J. Mailloux, Electronically Scanned Array, Morgan and Claypool Pub, 2007.

[10] X. Xiao-Feng, Z. Wen-Jun and Y. Zhi-Lian, Adaptive Particle Swarm Optimization on Individual Level, International Conference on Signal Processing, Beijing, China, 2002, pp. 1215-1218.

[11] J. Kennedy, The Particle Swarm: Social Adaptation of knowledge, IEEE Int. Conf. on Evolutionary Computation, 1997, pp.303-308.

[12] R. Eberhart and Y. Shi, Particle Swarm Optimization: Developments, Applications and Resources. IEEE Int. Conf. on Evolutionary Computation, 2001, pp.81-86.

[13] G. Nicolis, and Prigogine, Self-organization in no Equilibrium Systems: from Dissipative Systems to order Through Fluctuations, John Wiley, NY, 1977.

WSEAS Transactions on Communications, ISSN / E-ISSN: 1109-2742 / 2224-2864, Volume 16, 2017, Art. #31, pp. 288-297


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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