eprintid: 580 rev_number: 6 eprint_status: archive userid: 5 dir: disk0/00/00/05/80 datestamp: 2011-04-11 lastmod: 2013-06-28 14:24:00 status_changed: 2013-06-28 14:24:00 type: techreport metadata_visibility: show item_issues_count: 0 creators_name: Oliveri, Giacomo creators_name: Poli, Lorenzo title: Optimal sub-arraying of compromise planar arrays through an innovative ACO-weighted procedure ispublished: pub subjects: TU full_text_status: public abstract: In this paper, the synthesis of sub-arrayed monopulse planar arrays providing an optimal sum pattern and best compromise difference patterns is addressed by means of an innovative clustering approach based on the Ant Colony Optimizer. Exploiting the similarity properties of optimal and independent sum and difference excitation sets, the problem is reformulated into a combinatorial one where the definition of the sub-array configuration is obtained through the search of a path within a weighted graph. Such a weighting strategy allows one to effectively sample the solution space avoiding bias towards sub-optimal solutions. The sub-array weight coefficients are then determined in an optimal way by exploiting the convexity of the problem at hand by means of a convex programming procedure. Representative results are reported to assess the effectiveness of the weighted global optimization and its advantages over previous implementations. (c) The Electromagnetics Academy - The final version of this article is available at the url of the journal PIER (Progress In Electromagnetics Research): http://www.jpier.org/PIER/pier.php?paper=10092008 date: 2011-01 date_type: published institution: University of Trento department: informaticat refereed: TRUE referencetext: [1] M. I. Skolnik, Radar Handbook (3rd Edition). USA: McGraw-Hill, 2008. [2] S. M. Sherman, Monopulse Principles and Techniques. USA: Artech House, 1984. [3] D. K. Barton, Monopulse Radar . USA: Artech House, 1977. [4] D. A. 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[Technical Report] document_url: http://www.eledia.org/students-reports/580/1/DISI-11-011-OR17.pdf