Suppressing Sidelobe Level of the Planar Antenna Array in Wireless Power Transmission

The power pattern synthesis, as well as the sidelobe level (SLL) suppression of the planar antenna arrays for the wireless power transmission is investigated. An improved chicken swarm optimization (ICSO) algorithm is proposed for reducing the maximum SLL of the power pattern. ICSO introduces the gl...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.6958-6970
Main Authors: Shen, Guojun, Liu, Yanheng, Sun, Geng, Zheng, Tingting, Zhou, Xu, Wang, Aimin
Format: Article
Language:English
Subjects:
Algorithms
Antenna arrays
Antennas
Array signal processing
chicken swarm optimization
energy beamforming
Linear antenna arrays
Optimization
Particle swarm optimization
power pattern
Radio frequency
sidelobe level
Sidelobe reduction
Sidelobes
Transmitting antennas
Wireless power transmission
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Summary:The power pattern synthesis, as well as the sidelobe level (SLL) suppression of the planar antenna arrays for the wireless power transmission is investigated. An improved chicken swarm optimization (ICSO) algorithm is proposed for reducing the maximum SLL of the power pattern. ICSO introduces the global search, the local search, and the duplicate solution removing operators to enhance the accuracy and the convergence rate of the conventional CSO algorithm, thereby making it suitable for the power pattern optimizations. Simulations are conducted to verify the performance of the proposed algorithm, and the results show that ICSO obtains the lowest maximum SLL compared with other algorithms. Moreover, the power pattern performances of different algorithms are tested by the electromagnetic simulations, and the results show that the proposed ICSO has the best optimization ability.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2890436