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Adaptation of an antenna array controlled by digital-phase shifters using an advanced operator genetic algorithm is demonstrated. The genetic algorithm continuously optimizes the antenna's received signal-to-noise-plus-interference ratio (SINR) (Applebaum (1976) criterion) under changing interference conditions. Unlike earlier attempts to control adaptive array antennas using evolutionary optimization techniques, the current study uses a genetic algorithm with a population composed of individuals characterized by two chromosomes. Several numerical examples demonstrate that this “diploid” structure improves the ability of the genetic algorithm to adapt to changing conditions when compared with a simple genetic algorithm
Published in:
Antennas and Propagation, IEEE Transactions on
(Volume:49
,
Issue:
10
)
Date of Publication: Oct 2001
- Page(s):
- 1424 - 1433
- ISSN :
- 0018-926X
- INSPEC Accession Number:
- 7077989
- Digital Object Identifier :
- 10.1109/8.954931
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 07 August 2002
- Issue Date :
- Oct 2001
- Sponsored by :
- IEEE Antennas and Propagation Society
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