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Genetic Algorithm-Based Beamforming Using Power Pattern Function

  • Shuoguang WangEmail author
  • Shiyong Li
  • Houjun Sun
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 517)

Abstract

To solve the beamforming problems of small-scale array, this paper describes a new method using power pattern function and genetic algorithm. Compared with the traditional antenna beamforming methods which utilize the envelope of the radiation pattern, this method can control all the sidelobes quantitatively and form the desired array pattern. For a small-scale array, its envelope is difficult to be quantified and obtained. The proposed method in this paper is more intuitive and reliable to control the sidelobe levels. Using the power pattern optimization method, it can obtain an improved array pattern and fast convergence in small-scale arrays design. Numerical results are presented to verify the convergence and computational efficiency of the proposed method.

Keywords

Beamforming Power pattern function Genetic algorithm Small-scale arrays design 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Beijing Key Laboratory of Millimeter Wave and Terahertz TechnologyBeijing Institute of TechnologyBeijingChina

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