Optimization of an adaptive antenna array excitations employing genetic algorithm

Abubakar Hamza, Hussein Attia, Sharif I. Sheikh, Muhammad S. Iqbal, Essam E. Hassan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In an adaptive antenna array system, the most favourable solution to the problem of obtaining a certain null or maximum at a specific location may take a long processing time, such that the spatial situation could have been changed before the optimization process ends. In this work, an algorithm employing the schelkunoff nulling theory to achieve specific null or maximum at some desired directions is presented. The optimization of the array excitations is performed using genetic algorithm (GA) method to achieve null and maxima at the desired directions, the proposed technique holds for any adaptive array geometry. It is evidenced that the proposed technique based on reducing the number of array coefficients to be optimized reduces the processing time of the optimization process by about 92% without influencing other parameters such as the side-lobes level or the beam width.

Original languageEnglish
Title of host publication2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages461-462
Number of pages2
ISBN (Electronic)9781728106922
DOIs
StatePublished - Jul 2019

Publication series

Name2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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