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An improved biogeography-based optimization approach for beam pattern optimizations of linear and circular antenna arrays
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields ( IF 1.6 ) Pub Date : 2021-06-15 , DOI: 10.1002/jnm.2910
Lingling Liu 1 , Aimin Wang 1, 2 , Geng Sun 1, 2 , Tingting Zheng 1 , Chaoyu Yu 1
Affiliation  

Antenna array makes an increasingly valuable contribution to various fields of communications. The beam pattern synthesis is one of the significant properties of antenna array. In this article, suppressing the maximum sidelobe levels (SLLs) of different antenna arrays is our main objective. Specifically, we first formulate the beam pattern optimization problems of the linear antenna array (LAA) and circular antenna array (CAA), respectively, and propose an improved biogeography-based optimization (IBBO) approach to tackle the issue. IBBO introduces the hybrid migration and hybrid mutation operators by adopting several improved factors to strengthen the effect of conventional biogeography-based optimization (BBO) algorithm. Emulate experiments are built to evaluate the performance of the IBBO for dealing with the formulated antenna array beam pattern optimization problems comprehensively.

中文翻译:

一种改进的基于生物地理学的线性和圆形天线阵列波束图优化优化方法

天线阵列对通信的各个领域做出了越来越有价值的贡献。波束图合成是天线阵列的重要特性之一。在本文中,我们的主要目标是抑制不同天线阵列的最大旁瓣电平 (SLL)。具体来说,我们首先分别制定了线性天线阵列 (LAA) 和圆形天线阵列 (CAA) 的波束图优化问题,并提出了一种改进的基于生物地理学的优化 (IBBO) 方法来解决该问题。IBBO 引入了混合迁移和混合变异算子,通过采用几个改进的因素来加强传统的基于生物地理学的优化(BBO)算法的效果。
更新日期:2021-06-15
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