eprintid: 695
rev_number: 9
eprint_status: archive
userid: 4
dir: disk0/00/00/06/95
datestamp: 2015-06-10 10:50:42
lastmod: 2018-02-26 14:44:50
status_changed: 2015-06-10 10:50:42
type: monograph
metadata_visibility: show
creators_name: Poli, L.
creators_name: Oliveri, G.
creators_name: Viani, F.
creators_name: Massa, A.
title: Robust Synthesis of Shaped Beams exploiting Interval Analysis and Particle Swarm Optimization
ispublished: pub
subjects: MEA
full_text_status: public
monograph_type: technical_report
keywords: Interval Analysis, Array Synthesis, Array Analysis, Reflector Antennas, Inverse Scattering, Evolutionary Optimization, PSO, Particle Swarm.
abstract: The potentialities and the intrinsic robustness of an IA-based synthesis method in defining the intervals of values for the array excitations still guaranteeing the generation of shaped beam patterns laying within the desired mask-constraint are investigated in this report. A stochastic global optimiser is employed to determine the amplitude excitations  defined in terms of intervals of width corresponding to the maximum manufacturing tolerance around the nominal values that allow to match the power pattern constraints.
date: 2015
publisher: University of Trento
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[9] P. Rocca, L. Manica, and A. Massa, "Interval-based analysis of pattern distortions in reflector antennas with bump-like surface deformations," IET Microwaves, Antennas and Propagation, vol. 8, no. 15, pp. 1277-1285, Dec. 2014.
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[23] L. Manica, N. Anselmi, P. Rocca, and A. Massa, "Robust mask-constrained linear array synthesis through an interval-based particle swarm optimisation," IET Microwaves, Antennas and Propagation, vol. 7, no. 12, pp. 976-984, Sep. 2013.
citation:   Poli, L. and Oliveri, G. and Viani, F. and Massa, A.  (2015) Robust Synthesis of Shaped Beams exploiting Interval Analysis and Particle Swarm Optimization.  Technical Report. University of Trento.     
document_url: http://www.eledia.org/students-reports/695/1/Robust%20Synthesis%20of%20Shaped%20Beams%20exploiting%20Interval%20Analysis%20and%20Particle%20Swarm%20Optimization.pdf