Printed Circular Antenna Array for Reduce SLL and High Directivity Using Cuckoo Search Algorithm

Autor: Houcine Oudira, Lakhlef Nora, Christophe Dumond
Přispěvatelé: Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique (PRISME), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Procedia Computer Science
Procedia Computer Science, Elsevier, 2019, 158, pp.1103-1108. ⟨10.1016/j.procs.2019.09.232⟩
ISSN: 1877-0509
DOI: 10.1016/j.procs.2019.09.232⟩
Popis: International audience; This paper presents the synthesis and optimization of printed circular antenna array using the Cuckoo Search Algorithm (CSA). The CSA is a simple and effective global optimization algorithm which can be used to solve linear and non-linear problems. It has been applied to solve a wide variety of optimization problems. In our case, it is used to find the optimum weights of amplitudes and phases of complex feeding currents of a uniform printed circular antenna array. The goal to be achieved is a directional radiation pattern. To study the effect of these optimizations, a Gaussian centered at 90° is considered in our simulations. The obtained results are promising in terms of reduced Side Lobe Level (SLL) and directional factor array.
Databáze: OpenAIRE