Improved genetic algorithm for the design of the optimal antenna division in sub-arrays: a multi-objective genetic algorithm

Author

Golino, Giovanni

Author_Institution

Div. of Radar & Technol. & Oper., AMS, Italy

fYear

2005

fDate

9-12 May 2005

Firstpage

629

Lastpage

634

Abstract

In this paper a novel approach to the optimisation of the ECCM (electronic counter measures) capabilities of a phased array radar has been proposed. The division in sub-arrays for adaptive digital beamforming is performed by a MOGA (multi-objective genetic algorithm) which aims to find optimal trade-offs between competitive objectives (detection probability, accuracy of the target angular estimation, level of the side lobes, etc.). The solutions obtained after several cycles of the algorithm for a study case (square phased array antenna with 64 radiating elements) are presented.

Keywords

adaptive antenna arrays; adaptive signal processing; antenna phased arrays; array signal processing; genetic algorithms; phased array radar; probability; radar antennas; radar signal processing; adaptive digital beamforming; detection probability; electronic counter measure; multiobjective genetic algorithm; optimal antenna division; optimisation; phased array radar; subarray; target angular estimation; Algorithm design and analysis; Antenna measurements; Array signal processing; Counting circuits; Electronic countermeasures; Genetic algorithms; Phase measurement; Phased arrays; Radar antennas; Radar measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 2005 IEEE International

Print_ISBN

0-7803-8881-X

Type

conf

DOI

10.1109/RADAR.2005.1435903

Filename

1435903