Near Field to Far Field Conversion for an Infinite Ground Micro-Strip Trace Using Genetic Algorithm

Authors

  • R. Rajabzadeh Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
  • G. Moradi Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran

Keywords:

Genetic algorithm, microstrip, near field to far field transformation

Abstract

In this paper, an efficient combination of the near field to far field (NF-FF) transformation and the genetic algorithm (GA) is suggested for investigating of a microstrip trace on an infinite ground plane. Parameters of a set of ideal electric and magnetic dipoles are estimated by GA based on finite samples of near field data in the radiation region. Then, the far field pattern is determined, using the electromagnetic (EM) fields of equivalent ideal dipoles. The commercial software Ansoft High Frequency Structure Simulator (HFSS) is used for both, computing the near field data and validation of the proposed method. In addition, the influence of number of dipoles on the convergence rate is studied.

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References

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Published

2021-10-06

How to Cite

[1]
R. . Rajabzadeh and G. . Moradi, “Near Field to Far Field Conversion for an Infinite Ground Micro-Strip Trace Using Genetic Algorithm”, ACES Journal, vol. 28, no. 05, pp. 404–410, Oct. 2021.

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Articles