Optimization of Asymmetrical Difference Pattern With Memetic Algorithm

Author

Song-Han Yang ; Jean-Fu Kiang

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

62

Issue

4

fYear

2014

fDate

Apr-14

Firstpage

2297

Lastpage

2302

Abstract

A memetic particle swarm optimization (MPSO) algorithm is applied to fine-tune the asymmetrical difference pattern of a linear array, which is useful for tracking targets, for example, in radar applications. The side-lobe level of the asymmetrical difference pattern with various peak differences can be successfully reduced, while maintaining the desired squint angle and the side-lobe difference. Conventional PSO, genetic algorithm (GA) and memetic GA (MGA) have also been applied, with the initial conditions of uniformly-excited and Bayliss linear arrays, to compare their performance of optimization.

Keywords

antenna phased arrays; antenna radiation patterns; genetic algorithms; linear antenna arrays; particle swarm optimisation; radar tracking; search problems; target tracking; MGA; MPSO algorithm; asymmetrical difference pattern; genetic algorithm; linear arrays; memetic GA; memetic particle swarm optimization algorithm; peak differences; radar applications; side-lobe difference; side-lobe level; squint angle; target tracking; Arrays; Genetic algorithms; Memetics; Niobium; Optimization; Particle swarm optimization; Radar applications; Evolutionary computation; phased arrays; radar tracking;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/TAP.2014.2302440

Filename

6722897