eprintid: 300
rev_number: 9
eprint_status: archive
userid: 5
dir: disk0/00/00/03/00
datestamp: 2011-07-28
lastmod: 2018-02-27 09:47:23
status_changed: 2013-06-28 10:10:12
type: monograph
metadata_visibility: show
item_issues_count: 0
creators_name: Azaro, Renzo
creators_name: Benedetti, Manuel
creators_name: De Natale, Francesco
creators_name: Massa, Andrea
title: Smart Antennas Control in Complex Scenarios Through a Memory Enhanced PSO-Based Optimization Approach
ispublished: pub
subjects: TU
full_text_status: public
monograph_type: technical_report
abstract: In the framework of control methods for adaptive phased-arrays, this paper describes an innovative technique based on a memory enhanced optimization for dealing with complex scenarios and system models. Compared to other existing approaches working with far-field interferences, such a method focus on realistic situations where jamming sources are located both in the near-field or in the far-field of the antenna. Moreover, the effects of the mutual coupling are taken into account. A set of selected numerical results are presented in order to confirm the effectiveness of the proposed technique.
date: 2008-01
date_type: published
publisher: University of Trento
institution: University of Trento
department: informaticat
refereed: FALSE
referencetext: 1. M. Chryssomallis, “Smart Antennas,” IEEE Antennas Propagat. Mag., vol. 42, no. 3, pp. 129-136, Jun. 2000. 2. S. P. Applebaum, “Adaptive Arrays,” IEEE Trans. Antennas Propagat., vol. 24, pp. 585-598, Sep. 1976. 3. B. Widrow, P. E. Mantey, L. J. Griffiths, and B. B. Goode, “Adaptive antenna systems,” Proc. IEEE, vol. 55, no. 12, pp. 2143-2159, Dec. 1967. 4. R. L. Haupt, “Phase-only adaptive nulling with a genetic algorithm,” IEEE Trans. on Antennas Propagat., vol. 45, pp. 1009-1015, Jun. 1997. 5. D. S. Weile and E. Michielssen, “The control of adaptive antenna arrays with genetic algorithms using dominance and diploidy,” IEEE Trans. on Antennas Propagat., vol. 49, pp. 1424-1433, Oct. 2001. 6. M. Donelli, R. Azaro, F. De Natale, and A. Massa, “An Innovative Computational Approach Based on a Particle Swarm Strategy for Adaptive Phased-Arrays Control,” IEEE Trans. Antennas Propagat., vol. 54, no. 3, pp. 888- 898, Mar. 2006. 7. J. Robinson and Y. Rahmat-Samii, “Particle swarm optimization in electromagnetics,” IEEE Trans. Antennas Propagat., vol. 52, no. 2, pp. 397-407, Feb. 2004. 8. R. Eberhart and J. Kennedy, “A new optimizer using particle swarm theory,” Proc. Sixth Int. Symp. Micro-Machine and Human Science (Nagoya, Japan), pp. 39-43, 1995. 9. I. J. Gupta and A. A. Ksiensky, “Effect of mutual coupling on the performances of adaptive arrays,” IEEE Trans. Antennas Propagat., vol. 31, no. 9, pp. 785-791, Sep. 1983. 10. C. A. Balanis, Antenna Theory. New York: Wiley, 1996. 11. A.J. Fenn, “Evaluation of adaptive phased array antenna far-field nulling performance in the near-field region,” IEEE Trans. Antennas Propagat., vol. 38, no. 2, pp. 173-185, Feb. 1990. S. Caorsi, M. Donelli, A. Lommi, and A. Massa, “A real-time approach to array control based on a learned genetic 12. algorithm,” Microwaves Opt. Technol. Lett., vol. 36, no. 4, pp. 235-238, Feb. 2003. 13. A. Carlson, Communication System. New York: McGraw-Hill, 1987. 14. S. Caorsi, M. Donelli, A. Lommi, and A. Massa, “A real-time approach to array control based on a genetic algorithm”, Microwaves Opt. Technol. Lett., vol. 36, no. 4, pp. 235-238, Feb. 2003.
citation:   Azaro, Renzo and Benedetti, Manuel and De Natale, Francesco and Massa, Andrea  (2008) Smart Antennas Control in Complex Scenarios Through a Memory Enhanced PSO-Based Optimization Approach.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/300/1/DISI-11-244.C121.pdf