eprintid: 305
rev_number: 4
eprint_status: archive
userid: 5
dir: disk0/00/00/03/05
datestamp: 2011-08-04
lastmod: 2013-06-28 11:07:48
status_changed: 2013-06-28 11:07:48
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Azaro, Renzo
creators_name: Franceschini, Gabriele
creators_name: Massa, Andrea
creators_name: Piffer, Stefano
title: Frontiers in Multiple-Agents Evolutionary Techniques Applied to Adaptive Arrays Design
ispublished: pub
subjects: TU
full_text_status: public
abstract: This paper proposes an innovative approach to control phased arrays. Starting from the adaptive array theory, a particle swarm strategy is used to tune the phase coefficients of the array in order to adaptively minimize/avoid the effects of interfering signals at the receiver. The effectiveness of the proposed approach is assessed through a comparison with state-of-the-art methods. This is the author's version of the final version available at IEEE.
date: 2011-01
date_type: published
institution: University of Trento
department: informaticat
refereed: FALSE
referencetext: [1] S. P. Applebaum, “Adaptive arrays,” IEEE Trans. Antennas Propagat., vol. 24, pp. 585-598, 1976. [2] B. Widrow, P. E. Mantey, L. J. Griffiths, and B. B. Goode, “Adaptive antenna systems,” IEEE Proc., vol. 55, pp. 2143-2159, 1967. [3] R. L. Haupt, “Phase-only adaptive nulling with a genetic algorithm,” IEEE Trans. Antennas Propagat., vol. 45, pp. 1009-1015, 1997. [4] D. S. Weile and E. Michielssen, “The control of adaptive antenna arrays with genetic algorithms using dominance and diploidy,” IEEE Trans. Antennas Propagat., vol. 49, pp. 1424-1433, 2001. [5] C. Sacchi et al., “Adaptive antenna array control in presence of interfering signals with stochastic arrivals – Assessment of a GA-based procedure,” IEEE Trans. Wireless Communication, vol. 3, pp. 1031-1036, 2004. [6] A. Massa et al., “Planar antenna array control with genetic algorithms and adaptive array theory,” IEEE Trans. Antennas Propagat., vol. 52, pp. 2919-2924, 2004. [7] J. Kennedy, R. C. Eberhart, and Y. Shi, Swarm Intelligence. San Francisco: Morgan Kaufmann Publishiers, 2001. [8] J. R. Robinson and Y. Rahmat-Sami, “Particle swarm optimization in electromagnetics,” IEEE Trans. Antennas Propagat., vol. 52, pp. 771-778, 2004. [9] Y. Rahmat-Sami, “Frontiers in evolutionary optimization techniques applied to antenna designs: genetic algorithm (GA) and particle swarm optimization (PSO),” in Proc. JINA 2004, France, Nice, pp. 29-33, 2004.
citation:   Azaro, Renzo and Franceschini, Gabriele and Massa, Andrea and Piffer, Stefano  (2011) Frontiers in Multiple-Agents Evolutionary Techniques Applied to Adaptive Arrays Design.  [Technical Report]     
document_url: http://www.eledia.org/students-reports/305/1/DISI-11-273.C92.pdf