Elliptical Antenna Array Synthesis Using Backtracking Search Optimisation Algorithm

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Tarih

2016

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Defence Scientific Information Documentation Centre

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

The design of the elliptical antenna arrays is relatively new research area in the antenna array community. Backtracking search optimisation algorithm (BSA) is employed for the synthesis of elliptical antenna arrays having different number of array elements. For this aim, BSA is used to calculate the optimum angular position and amplitude values of the array elements. BSA is a population-based iterative evolutionary algorithm. The remarkable properties of BSA are that it has a good optimisation performance, simple implementation structure, and few control parameters. The results of BSA are compared with those of self-adaptive differential evolution algorithm, firefly algorithm, biogeography based optimisation algorithm, and genetic algorithm. The results show that BSA can reach better solutions than the compared optimisation algorithms. Iterative performances of BSA are also compared with those of bacterial foraging algorithm and differential search algorithm.

Açıklama

Anahtar Kelimeler

Elliptical antenna array, backtracking search optimisation algorithm, sidelobe suppression

Kaynak

Defence Science Journal

WoS Q Değeri

Q3

Scopus Q Değeri

Q2

Cilt

66

Sayı

3

Künye