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Design of non-uniform concentric circular antenna arrays with optimal sidelobe level reduction using biogeography-based optimization

Published online by Cambridge University Press:  14 May 2014

Nihad Dib  and
Ashraf Sharaqa
Nihad Dib*
Affiliation:
Electrical Engineering Department, Jordan University of Science & Technology, P. O. Box 3030, Irbid 22110, Jordan
Ashraf Sharaqa
Affiliation:
Communication and Security Projects Division, WorleyParsons Arabia Ltd.P. O. Box 31699, Al-Khobar 31952, Saudi Arabia
*
Corresponding author: N. Dib Email: [email protected]
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Abstract

This paper presents the design of non-uniform concentric circular antenna arrays (CCAAs) of isotropic radiators with optimum sidelobe level (SLL) reduction. The biogeography-based optimization (BBO) method is used to determine an optimum set of excitation amplitudes that provide a radiation pattern with optimum SLL reduction with the constraint of a fixed major lobe beamwidth. The BBO method represents a new global evolutionary algorithm for optimization problems in electromagnetics. It is shown that the BBO results provide an SLL reduction that is comparable to that obtained using well-known algorithms, such as the particle swarm optimization (PSO), genetic algorithm (GA), and evolutionary programming (EP). Moreover, BBO results are compared with those obtained using the Matlab function Fmincon which uses a sequential quadratic programming (SQP) method. The comparison shows that the design of non-uniformly excited CCAAs using the SQP method provides a SLL reduction that is better than that obtained using global stochastic optimization methods, indicating that global optimization techniques might not really be needed in this problem.

Keywords

Antenna arraysCircular arraysOptimization methodsBiogeography-based optimization
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 7 , Issue 2 , April 2015 , pp. 161 - 166
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2014 

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