volume | PIER Journals

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 levels patterns with multiple prescribed main lobes. The ring antenna analysis builds on the modified cavity model; this letter permits to take account of the fringing field effects by virtue of the dynamic permittivity. 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 to illustrate the performance of the proposed method.

1. Morabito, A. F., T. Isernia, and L. Di Donato, "Optimal synthesis of phase-only reconfigurable linear sparse arrays having uniform-amplitude excitations," Progress In Electromagnetics Research, Vol. 124, 405-423, 2012.
doi:10.2528/PIER11112210 Google Scholar

2. Didouh, S., M. Abri, and H. Abri Badaoui, "A new C and Ku-band logarithmically periodic linear bowtie antennas array design using lumped-element equivalent schematic model," International Journal of Electronics and Communications, Vol. 69, 1766-1772, 2015.
doi:10.1016/j.aeue.2015.08.013 Google Scholar

3. Gopi, R., M. Durbadal, K. Rajib, and S. Ghoshal, "Directivity maximization and optimal far-field pattern of time modulated linear antenna arrays using evolutionary algorithms," International Journal of Electronics and Communications, Vol. 69, 1800-1809, 2015.
doi:10.1016/j.aeue.2015.09.009 Google Scholar

4. Lakshman, P. and D. Ghosh, "Linear antenna array synthesis using cat swarm optimization," International Journal of Electronics and Communications, Vol. 68, 540-549, 2014.
doi:10.1016/j.aeue.2013.12.012 Google Scholar

5. Abri, M., N. Boukli-hacene, F. T. Bendimerad, and E. Cambiaggio, "Design of ring printed antennas array for dual band," Microwave Journal, Vol. 49, 228-232, 2006. Google Scholar

6. Jana, R. and R. Bhattacharjee, "Matched feed design employing TE₀₁ and TM₁₁ modes in a smoothwalled rectangular waveguide for cross-polar reduction in offset reflector antenna systems," International Journal of Electronics and Communications, Vol. 69, 873-877, 2015.
doi:10.1016/j.aeue.2015.01.006 Google Scholar

7. Dahele, J. S. and K. F. Lee, "Theory and experiment on microstrip antennas with airgaps," Proceeding of IEE, 455-460, 1985. Google Scholar

8. Deschamps, G. A., "Microstrip microwave antennas," Proc. 3rd USAF Symposium on Antennas, 1953. Google Scholar

9. Urvinder, S. and S. Rohit, "Optimal synthesis of linear antenna arrays using modified spider monkey optimization," Arabian Journal for Science and Engineering, Vol. 41, No. 8, 2957-2973, 2016.
doi:10.1007/s13369-016-2053-2 Google Scholar

10. Bilel, H., L. Selma, and A. Taoufik, "Uniform and concentric circular antenna arrays synthesis for smart antenna systems using artificial neural network algorithm," Progress In Electromagnetics Research B, Vol. 67, 91-105, 2016. Google Scholar

11. Prerna, S. and K. Ashwin, "Optimal pattern synthesis of linear antenna array using grey wolf optimization algorithm," International Journal of Antennas and Propagation, Vol. 2016, Article ID 1205970, 11, 2016. Google Scholar

12. Chaker, H., S. M. Meriah, and F. T. Bendimerad, "Synthesis of multibeam antennas arrays with a modified particle swarm optimization algorithm," The International Arab Journal of Information Technology, Vol. 7, 250-255, 2010. Google Scholar

13. Chaker, H., "Null steering and multi-beams design by complex weight of antennas array with the use of APSO-GA," WSEAS Transactions on Communications, Vol. 13, 99-108, 2014. Google Scholar

14. Robinson, J. and Y. Rahmat-Samii, "Particle swarm optimization (PSO) in electromagnetics," IEEE Transactions on Antennas and Propagation, Vol. 52, 397-407, 2004.
doi:10.1109/TAP.2004.823969 Google Scholar

15. Khodier, M. M. and C. G. Christodoulou, "Linear array geometry synthesis with minimum sidelobe level and null control using particle swarm optimization," IEEE Transactions on Antennas and Propagation, Vol. 53, 2674-2679, 2005.
doi:10.1109/TAP.2005.851762 Google Scholar

16. Pappula, L. and D. Ghosh, "Linear antenna array synthesis for wireless communications using particle swarm optimization," 15th International Conference on Advanced Computing Technologies, 780-783, 2013. Google Scholar

17. Schlosser, E. R., S. M. Tolfo, and M. V. T. Heckler, "Particle swarm optimization for antenna arrays synthesis," IEEE Microwave and Optoelectronics Conference, 1-6, Nov. 2015. Google Scholar

18. Abri, M., N. Boukli-hacene, and F. T. Bendimerad, "Ring printed antennas arrays radiation. Application to multibeam," Mediterranean Microwave Symposium-mms, 2004. Google Scholar

19. Abri, M., N. Boukli-hacene, and F. T. Bendimerad, "Application du recuit simulé à la synthèse d’antennes en réseau constituées d’éléments annulaires imprimés," Annales des Télécommunications, Vol. 60, 1424-1440, 2005. Google Scholar

20. Abri, M., N. Boukli-hacene, and F. T. Bendimerad, "Application of the genetic algorithm to the ring printed antennas arrays synthesis," International Journal of Modelling and Simulation, Vol. 28, 174-181, 2008. Google Scholar

21. Mailloux, R. J., Electronically Scanned Array, Morgan and Claypool Pub., 2007.

22. Xie, X.-F., W.-J. Zhang, and Z.-L. Yang, "Adaptive particle swarm optimization on individual level," International Conference on Signal Processing, 1215-1218, 2002. Google Scholar

23. Eberhart, R. and Y. Shi, "Particle swarm optimization: developments, applications and resources," IEEE International Conference Evolutionary Computation, Vol. 1, 81-86, 2001. Google Scholar

24. Kennedy, J., "The particle swarm: social adaptation of knowledge," IEEE International Conference Evolutionary Computation, 303-308, 1997. Google Scholar

25. Kennedy, J. and R. Eberhart, "Particle swarm optimization," IEEE Conference on Neural Networks, Vol. 4, 1942-1948, 1995. Google Scholar

26. Nicolis, G. and I. Prigogine, Self-organization in No Equilibrium Systems: From Dissipative Systems to Order Through Fluctuations, John Wiley, 1977.

Dr. Hichem Chaker

Dr. Mehadji Abri

Dr. Hadjira Abri Badaoui