A Lexicographic Approach for Multi-Objective Optimization in Antenna Array Design
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This article is published in Progress in Electromagnetics Research M.The article was published on 2017-01-01 and is currently open access. It has received 13 citations till now. The article focuses on the topics: Antenna array & Multi-objective optimization.read more
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Journal ArticleDOI
Synthesis of Large Sparse Arrays Using IDEA (Inflating-Deflating Exploration Algorithm)
TL;DR: An effective antenna array synthesis algorithm which is aimed to the generation of sparse arrays radiating patterns with arbitrary upper bounds, based on a convex optimization exploits an iterative polygonal expansion and contraction of the sources, suitable for the synthesis of linear and planar arrays.
Journal ArticleDOI
On the Trade-Off between the Main Parameters of Planar Antenna Arrays
TL;DR: A simple, yet effective, novel approach to overcome the directivity issue is proposed and examples show that it is possible to synthesize sparse arrays, able to challenge with equispaced lattices in terms of directivity, with a significant reduction of the number of radiators.
Journal ArticleDOI
Efficient Large Sparse Arrays Synthesis by Means of Smooth Re-Weighted L1 Minimization
TL;DR: An efficient technique for the synthesis of very large sparse arrays, with arbitrary circularly-symmetrical upper bounds for the pattern specifications, which is very flexible and is capable of achieving very good performances with respect to competitive algorithms.
Journal ArticleDOI
Synthesis of Unequally Spaced Arrays With Uniform Excitation via Iterative Second-Order Cone Programming
TL;DR: An iterative method based on second-order cone programming is developed to search the geometry with local optimum peak sidelobe level (PSLL), which is valid for arrays of different scale regardless of geometry constraints like centrosymmetry and minimum separation.
Book ChapterDOI
Constraining Counterexamples in Hybrid System Falsification: Penalty-Based Approaches
TL;DR: In this paper, three approaches for systematically addressing input constraints in optimization-based falsification are proposed, two among which come from the lexicographic method studied in the context of constrained multi-objective optimization.