An Antenna Array Sidelobe Level Reduction Approach through Invasive Weed Optimization

Author:

Sun Geng123ORCID,Liu Yanheng12,Li Han1,Liang Shuang14,Wang Aimin12ORCID,Li Boyu1

Affiliation:

1. College of Computer Science and Technology, Jilin University, Changchun, Jilin 130012, China

2. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, Jilin 130012, China

3. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30302, USA

4. Department of Information Technology, Changchun Vocational Institute of Technology, Changchun 130033, China

Abstract

The problems of synthesizing the beam patterns of the linear antenna array (LAA) and the circular antenna array (CAA) are addressed. First, an optimization problem is formulated for reducing the maximum sidelobe level (SLL) of the beam patterns. Then, the formulated problem is solved by using the invasive weed optimization (IWO) algorithm. Various simulations are performed to evaluate the effectiveness of the IWO algorithm for the synthesis of the beam patterns of the LAA and the CAA. The results show that IWO has a better performance in terms of the accuracy, the convergence rate, and the stability compared with other algorithms for the SLL reductions. Moreover, the electromagnetic simulation results also show that IWO achieves the best performance for the beam pattern synthesis of the antenna arrays in practical conditions.

Funder

Jilin University

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering

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