An efficient ULA pattern nulling approach in the presence of unknown interference

Luyen, Tong Van; Hoàng, Mạnh Kha; Tuyên, Nguyễn Việt; Giang, Truong Vu Bang

doi:10.1080/09205071.2020.1819442

Cited by 8 publications

(1 citation statement)

References 22 publications

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“…Recently, metaheuristics such as bat algorithm or binary bat algorithm (BBA) and particle swarm optimization or binary particle swarm optimization (BPSO) have been proven to be efficient global optimization algorithms. These algorithms are used to produce optimal patterns in continuous and discrete optimization problems; they are proven to be superior to traditional optimization techniques as well [14][15][16][17][18]. Beamformers (BF) based on BBA or BPSO can optimize binary numbers and then directly apply them to digital attenuators or digital phase shifters to control amplitudes and/or phases excited at each element.…”

Section: Introductionmentioning

confidence: 99%

Wireless power transfer using binary bat algorithm-based beamformer

2023

jsthaui

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Recently, wireless power transfer technology, which is transmitted via radio frequency power, is considered as a promising technology. This technology provides a cost-effective energy supply to low-power devices in the future era of the Internet of Things. However, there will a large number of devices in electromagnetic environments, so they can interfere with each other. To achieve effective power delivery in space, this paper proposes an efficient beamformer that can focus energy on the direction of the desired people and minimize energy in the direction of undesired people (interferences). This beamformer is based on binary bat algorithm and on the technique of controlling complex weights. The results prove that the proposed beamformer can effectively maintain the main lobe, suppress interferences, and surpass a beamformer based on binary particle swarm optimization in terms of sidelobe suppression ability and computational time.

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