Optimal sub-arraying of compromise planar arrays through an innovative ACO-weighted procedure

Oliveri, Giacomo and Poli, Lorenzo (2011) Optimal sub-arraying of compromise planar arrays through an innovative ACO-weighted procedure. UNSPECIFIED.

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    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

    Item Type: Departmental Technical Report
    Department or Research center: Information Engineering and Computer Science
    Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885 Computer Engineering
    Q Science > QC Physics (General) > QC661 Electromagnetic Theory
    T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.5 Computer Networks
    Q Science > QC Physics (General) > QC760 Electromagnetism
    Report Number: DISI-11-011
    Repository staff approval on: 11 Apr 2011

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