The control of adaptive antenna arrays with genetic algorithms using dominance and diploidy

Author

Weile, Daniel S. ; Michielssen, Eric

Author_Institution

Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA

Volume

49

Issue

10

fYear

2001

fDate

10/1/2001 12:00:00 AM

Firstpage

1424

Lastpage

1433

Abstract

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

Keywords

adaptive antenna arrays; antenna phased arrays; array signal processing; genetic algorithms; linear antenna arrays; radiofrequency interference; telecommunication control; Applebaum criterion; SINR; adaptive antenna arrays control; chromosomes; digital-phase shifters; diploidy; dominance; evolutionary optimization; genetic algorithms; interference conditions; linear antenna array; signal-to-noise-plus-interference ratio; Adaptive arrays; Adaptive control; Antenna arrays; Biological cells; Digital control; Genetic algorithms; Interference; Programmable control; Receiving antennas; Signal to noise ratio;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/8.954931

Filename

954931