Optimizing interference cancellation of adaptive linear array by phase-only perturbations using genetic algorithms

Chao Hsing Hsu, Wen-Jye Shyr, Kun Huang Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

An antenna array is often used as an adaptive antenna. In this paper, the pattern nulling of a linear array for interference cancellation is derived by phase-only perturbations using genetic algorithms. This design for radiation pattern nulling of an adaptive antenna can suppress multiple interferences by placing nulls at the directions of the interfering sources, i.e., to increase the Signal Interference Ratio (SIR). One example is provided to justify the proposed phase-only perturbations approach based on genetic algorithms. The simulation results show that optimizing interference cancellation of adaptive linear array has been achieved by phase-only perturbations using genetic algorithms.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
Pages561-567
Number of pages7
Volume3681 LNAI
Publication statusPublished - 2005 Dec 1
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
Duration: 2005 Sep 142005 Sep 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3681 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
CountryAustralia
CityMelbourne
Period05-09-1405-09-16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Hsu, C. H., Shyr, W-J., & Kuo, K. H. (2005). Optimizing interference cancellation of adaptive linear array by phase-only perturbations using genetic algorithms. In Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings (Vol. 3681 LNAI, pp. 561-567). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3681 LNAI).