Rocca, Paolo and Manica, Luca and Massa, Andrea (2010) Ant Colony Based Hybrid Approach for Optimal Compromise Sum-Difference Patterns Synthesis. UNSPECIFIED.
![[img]](http://eprints.biblio.unitn.it/style/images/fileicons/application_pdf.png)
| PDF Download (231Kb) | Preview |
Abstract
Dealing with the synthesis of monopulse array antennas, many stochastic optimization algorithms have been used for the solution of the so-called optimal compromise problem between sum and difference patterns when sub-arrayed feed networks are considered. More recently, hybrid approaches, exploiting the convexity of the functional with respect to a sub-set of the unknowns (i.e., the sub-array excitation coefficients) have demonstrated their effectiveness. In this letter, an hybrid approach based on the Ant Colony Optimization (ACO) is proposed. At the first step, the ACO is used to define the sub-array membership of the array elements, while, at the second step, the sub-array weights are computed by solving a convex programming problem. The definitive version is available at www3.interscience.wiley.com
| 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 Q Science > QC Physics (General) > QC760 Electromagnetism |
| Uncontrolled Keywords: | Sum and Difference Patterns Synthesis, Ant Colony Optimization, Hybrid Optimization |
| Report Number: | DISI-11-020 |
| Repository staff approval on: | 25 Feb 2011 |
Actions (login required)
| View Item |
