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Efficient optimization of a Yagi-Uda antenna using genetic algorithm
- Modaresi, M. (author)
- Shafai, L. (author)
-
- Lindmark, Björn (author)
- KTH,Signalbehandling
- (creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2017
- 2017
- English.
- In: ANTEM 2005 - 11th International Symposium on Antenna Technology and Applied Electromagnetics, Conference Proceedings. - : Institute of Electrical and Electronics Engineers (IEEE). - 9780973842500
- Conference paper (peer-reviewed)
Abstract
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- In this paper, Yagi-Uda antenna is studied and analyzed considering a single mode cosine current distribution on all elements. A classical approach is taken for the analysis, by viewing Yagi antenna as a center-driven dipole array in which all but the actual exciter element are short-circuited at the terminals. Currents are induced in the elements via the mutual impedances, and radiation occurs as from a set of discrete sources. The mutual impedance matrix of the array is calculated using the induced EMF method and integral equations for the electric field. This analysis has led to a fast and efficient code to calculate Yagi parameters. The validity of the results has been checked with a MoM solution using NEC2 and good agreement has been observed. Then, the code is used together with a genetic algorithm in order to optimize Yagi-Uda antenna for gain maximization. A 31-element high gain Yagi with 19.2dB gain and the gain bandwidth of 8 percent is derived. Also the Pareto fronts are plotted for Yagi antennas with different number of elements which shows the trade off between the directivity and front to back lobe(F/B) ratio.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Keyword
- EMF Method
- Front to Back Lobe Ratio(F/B)
- Genetic Algorithm
- Method Of Moments(MoM)
- Mutual Impedance
- Pareto Fronts
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