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

Author:

Dib Nihad,Sharaqa Ashraf

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.

Publisher

Cambridge University Press (CUP)

Subject

Electrical and Electronic Engineering

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Synthesis of concentric circular antenna array for reducing the sidelobe level by employing sine cosine optimization algorithm;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2024-07

2. An optimal concentric circular antenna array design using atomic orbital search for communication systems;Frequenz;2024-05-06

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