PIER
 
Progress In Electromagnetics Research
ISSN: 1070-4698, E-ISSN: 1559-8985
Home | Search | Notification | Authors | Submission | PIERS Home | EM Academy
Home > Vol. 46 > pp. 105-126

DESIGN OF SWITCHED BEAM PLANAR ARRAYS USING THE METHOD OF GENETIC ALGORITHMS

By S. A. Mitilineos, C. A. Papagianni, G. I. Verikaki, and C. N. Capsalis

Full Article PDF (295 KB)

Abstract:
A system consisting of a smart antenna and a processor can perform filtering in both the time and space domain,th us reducing the sensitivity of the receiver to interfering directional noise sources. Smart antennas can be used for further increase in the capacity of a communication system and for variable speed of transmission for multimedia information. Switched beam antenna arrays are a subset of smart antennas that cover either the x-y plane or a portion of it with multiple radiation patterns. A processor can decide which pattern to use for reception or transmission. In this paper the use of genetic algorithms (GAs) is examined in the design of switched beam antenna arrays. The antenna consists of five or six elements and the radiation patterns vary from 4 to 8, covering the x-y plane with the main beams of the radiation patterns pointing at 0°, 90°, 180°, 270° and 0°, 45°, 90°, 135°, 180°, 225°, 270°, 315° respectively. The positions of the antenna elements are either chosen exclusively by the GA or are assumed to form a circular array with one central element and the GA decides for the radius and the offset angle of the circle. Furthermore, the GA is asked to design an array covering the first 120° of the x-y plane with 4 radiation patterns pointing at 15°, 45°, 75° and 105°. Such a configuration can be used in sector antennas,whic h are widely used in 2G mobile communication systems.

Citation: (See works that cites this article)
S. A. Mitilineos, C. A. Papagianni, G. I. Verikaki, and C. N. Capsalis, "Design of Switched Beam Planar Arrays Using the Method of Genetic Algorithms," Progress In Electromagnetics Research, Vol. 46, 105-126, 2004.
doi:10.2528/PIER03080802
http://www.jpier.org/PIER/pier.php?paper=0308082

References:
1. Winters, J. H. (AT&T Labs Research), "Smart antennas for wireless systems," IEEE Personal Communications, Vol. 1, No. 2, 23-27, 1998.
doi:10.1109/98.656155

2. Shannon, C. E., "A mathematical theory of communication," The Bell System Technical Journal, Vol. 27, No. 10, 623-656, 1948.

3. Godara, L. C., Applications of antenna arrays to mobile communications, Part I: Performance improvement,feasibilit y, and system considerations, Proceedings of the IEEE, Vol. 85, No. 7, 1031-1060, 1997.

4. Varlamos, P . K. and C. N. Capsalis, "Design of a six-sector switched parasitic planar array using the method of genetic algorithms," Wireless Personal Communications, Vol. 26, No. 1, 2003.
doi:10.1023/A:1025329912599

5. Liberti Jr., J. C. and T. S. Rappaport, Smart Antennas for Wireless Communications, Prentice Hall, 1999.

6. Foschini, G. J. and M. J. Gans, "On limits of wireless communications in a fading environment when using multiple antennas," Wireless Personal Communications, Vol. 6, No. 3, 1998.
doi:10.1023/A:1008889222784

7. Golden, G. D., G. J. Foschini, R. A. Valenzuela, and P. W. Wolniansky, "Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture," Electronics Letters, Vol. 35, No. 1, 1999.
doi:10.1049/el:19990058

8. Foschini, G. J., "La yered space-time architecture for wireless communication in a fading environment when using multiple antennas," Bell Labs Technical Journal, Vol. 1, No. 2, 41-59, 1996.
doi:10.1002/bltj.2015

9. Martone, M., Multi Antenna Digital Radio Transmission, Artec h House, Boston, U.S.A., 2002.

10. Rahmat-Samii, Y. and E. Michielssen, Electromagnetic Optimization by Genetic Algorithms, John Wiley & Sons Inc., 1999.

11. Goldberg, D. E., Optimization and Machine Learning: Genetic Algorithms in Search, Addison-Wesley Publishing Company, Inc., 1989.

12. Houck, C. R., J. A. Joines, and M. G. Kay, "A genetic algorithm for function optimization: A matlab implementation," http://www.ie.ncsu.edu:80/mirage/GAToolBox/gaot/.

13. Balanis, C. A., Analysis and Design: Antenna Theory, 2nd Ed., John Wiley and Sons, 1997.

14. Kraus, J. D., Antennas, 2nd Ed., McGraw Hill International Editions, 1988.

15. Capsalis, C. and P. Kottis, Keraies Asyrmates Zefkseis, Tziolas Editions, Athens, Greece, 2003.

16. Weile, D. S. and E. Michielssen, "Genetic algorithm optimization applied to electromagnetics — A review," IEEE Trans. on Ant. and Propag., No. 3, 343-353, 1997.
doi:10.1109/8.558650

17. Michielssen, E., A. Boag, J. M. Sager, and R. Mittra, Design of electrically loaded wire antennas using massively parallel genetic algorithms, Proceedings of the URSI Radio Science Meeting, No. 6, 1994.

18. Altman, Z., R. Mittra, and A. Boag, "New designs of ultra wideband communication antennas using a genetic algorithm," IEEE Trans. on Ant. and Propag., Vol. 45, No. 10, 1494-1501, 1997.
doi:10.1109/8.633856

19. Werner, P . L., Z. Altman, R. Mittra, D. H. Werner, and A. J. Ferraro, Genetic algorithm optimization of stacked vertical dipoles above a ground plane, Proceedings of the 1997 IEEE Antennas and Propagation Society International Symposium Digest, Vol. 3, 1976-1979, 1997.

20. Jones, E. A. and W. T. Joines, "Design of Yagi-Uola antennas using genetic algorithms," IEEE Trans. on Ant. and Propag., Vol. 45, No. 9, 1386-1392, 1997.
doi:10.1109/8.623128

21. Ares-Pena, F. J., J. A. Rodriguez-Gonzalez, E. S. Villanueva- Lopez, and S. R. Rengarajan, "Genetic algorithms in the design and optimization of antenna array patterns," IEEE Trans. on Ant. and Propag., Vol. 47, No. 3, 506-510, 1996.
doi:10.1109/8.768786


© Copyright 2014 EMW Publishing. All Rights Reserved