An improved biogeography‐based optimization approach for beam pattern optimizations of linear and circular antenna arrays

Liu, Lingling; Wang, Aimin; Zheng, Tingting; Yu, Chaoyu

doi:10.1002/jnm.2910

Cited by 7 publications

(1 citation statement)

References 33 publications

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“…Levy flight strategy, as a random search path strategy with global search capability, was introduced to WOA [33]. Although the method has not been widely applied to array design within WOA, it has been successful within other swarm algorithms for linear and circular array design, including the differential evolutionary algorithm [34], CS algorithm [27], InvasiveWeed Optimization [35], and biogeography-based optimization approach [36]. Unfortunately, the Levy flight strategy destroys the original whale spiral search, which causes the convergence speed to slow down; hence, a new search strategy should be introduced to maintain the speed.…”

Section: Introductionmentioning

confidence: 99%

Underwater Sparse Acoustic Sensor Array Design under Spacing Constraints Based on a Global Enhancement Whale Optimization Algorithm

2022

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Sparse arrays with low cost and engineering complexity are widely applied in many fields. However, the high peak sidelobe level (PSLL) of a sparse array causes the degradation of weak target detection performance. Particularly for the large size of underwater low-frequency sensors, the design problem requires a minimum spacing constraint, which further increases the difficulty of PSLL suppression. In this paper, a novel swarm-intelligence-based approach for sparse sensor array design is proposed to reduce PSLL under spacing constrains. First, a global enhancement whale optimization algorithm (GEWOA) is introduced to improve the global search capability for optimal arrays. A three-step enhanced strategy is used to enhance the ergodicity of element positions over the aperture. In order to solve the adaptation problem for discrete array design, a position decomposition method and a V-shaped transfer function are introduced into off-grid and on-grid arrays, respectively. The effectiveness and superiority of the proposed approach is validated using experiments for designing large-scale low-frequency arrays in the marine environment. The PSLL of the off-grid array obtained by GEWOA was nearly 3.8 dB lower than that of WOA. In addition, compared with other intelligent algorithms, the on-grid array designed using GEWOA had the lowest PSLL.

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Section: Introductionmentioning

confidence: 99%

Underwater Sparse Acoustic Sensor Array Design under Spacing Constraints Based on a Global Enhancement Whale Optimization Algorithm

2022

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Planar Antenna Arrays Beamforming Using Various Optimization Algorithms

et al. 2023

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An optimal concentric circular antenna array design using atomic orbital search for communication systems

Durmus,

Yildirim,

Kurban

et al. 2024

Frequenz

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In this study, optimum radiation patterns of Concentric Circular Antenna Arrays (CCAAs) are obtained by using the Atomic Orbital Search (AOS) algorithm for communication spectrum. Communication systems stands as a nascent technological innovation poised to revolutionize the landscape of wireless communication systems. It distinguishes itself through its hallmark features, notably an exceptionally high data transmission rate, expanded network capacity, minimal latency, and a commendable quality of service. The most important issue in wireless communication is a precision antenna array design. The success of this design depends on suppressing the maximum sidelobe levels (MSLs) values of the antenna in the far-field radiation region as much as possible. The AOS, which is a rapid and flexible search algorithm, is a novel physics-based algorithm. The amplitudes and inter-element spacing of CCAAs are optimally determined by utilizing AOS to the reduction of the MSLs. In this study, CCAAs with three and four rings are considered. The number of elements of these CCAAs has been determined as 4–6–8, 8–10–12 and 6–12–18–24. The radiation patterns obtained with AOS are compared with the results available in the literature and it is seen that the results of the AOS method are better.

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An improved biogeography‐based optimization approach for beam pattern optimizations of linear and circular antenna arrays

Cited by 7 publications

References 33 publications

Underwater Sparse Acoustic Sensor Array Design under Spacing Constraints Based on a Global Enhancement Whale Optimization Algorithm

Underwater Sparse Acoustic Sensor Array Design under Spacing Constraints Based on a Global Enhancement Whale Optimization Algorithm

Planar Antenna Arrays Beamforming Using Various Optimization Algorithms

An optimal concentric circular antenna array design using atomic orbital search for communication systems

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