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Beam pattern synthesis based on improved biogeography-based optimization for reducing sidelobe level
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DOI：10.1016/j.compeleceng.2017.01.003.png)
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Abstract
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This study deals with a design problem of linear and circular antenna arrays (LAAs and CAAs, respectively) for suppressing the sidelobe levels (SLLs). By adding a new local search strategy and a selection operator into the normal biogeography-based optimization, this work develops a biogeography-based optimization based on local search (BBOLS) algorithm to determine an optimal set of excitation current values for LAAs and an optimal set of excitation current as well as spacing values for CAAs. Various simulations are performed to examine the effectiveness of the proposed BBOLS algorithm in optimizing the radiation beam patterns of LAAs and CAAs, and the results show that BBOLS algorithm has a better performance in reducing the maximum SLL compared with, other algorithms such as firefly algorithm. (C) 2017 Elsevier Ltd. All rights reserved.
Keywords:
Antenna array
Biogeography-based optimization
Sidelobe level
Radiation beam pattern
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