DocumentCode
3291493
Title
Optimum design of Yagi fractal arrays using genetic algorithms
Author
Zainud-Deen, S.H. ; Mohrram, D.G. ; Sharshar, H.A.
Author_Institution
Fac. of Electron. Eng., Menoufia Univ., Egypt
fYear
2004
fDate
16-18 March 2004
Lastpage
42379
Abstract
Method of moments, MoM, and the genetic algorithms, GA, are developed to optimize the element spacing and the heights of Yagi fractal arrays. The MoM is used independently for the computation of the current distribution on the array elements, the gain, and impedance characteristics of the array, while the GA is applied to select the heights and the spacing of the elements of the antenna arrays at each iteration. As a result of this optimization a simple Yagi fractal array is obtained with a maximum gain and real part of the input impedance close to 50. Different shapes of Yagi fractal arrays are designed for maximum gain between 10-13 dB.
Keywords
Yagi antenna arrays; current distribution; electric impedance; fractals; genetic algorithms; method of moments; Yagi fractal arrays; antenna arrays; current distribution; genetic algorithms; impedance characteristics; method of moments; optimization; optimum design; Algorithm design and analysis; Antenna arrays; Current distribution; Distributed computing; Fractals; Genetic algorithms; Impedance; Moment methods; Optimization methods; Yagi-Uda antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Radio Science Conference, 2004. NRSC 2004. Proceedings of the Twenty-First National
Print_ISBN
977-5031-77-X
Type
conf
DOI
10.1109/NRSC.2004.1321793
Filename
1321793
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