2022
DOI: 10.1016/j.sigpro.2021.108334
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Optimal pulse design for visible light positioning systems

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Cited by 6 publications
(3 citation statements)
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“…The major demerits of the deep learning methods are it generates thresholding and overfitting issues. 37,38 This method has not been utilized for real-time datasets, and it is reduced the computation time. The multiple activities in the practical situation are required to be solved.…”
Section: Optimal Visible Light Communication Using Fitness-oriented D...mentioning
confidence: 99%
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“…The major demerits of the deep learning methods are it generates thresholding and overfitting issues. 37,38 This method has not been utilized for real-time datasets, and it is reduced the computation time. The multiple activities in the practical situation are required to be solved.…”
Section: Optimal Visible Light Communication Using Fitness-oriented D...mentioning
confidence: 99%
“…For example, a few of the challenges of PSO algorithms are depicted here. The major demerits of the deep learning methods are it generates thresholding and overfitting issues 37,38 . This method has not been utilized for real‐time datasets, and it is reduced the computation time.…”
Section: Optimal Visible Light Communication Using Fitness‐oriented D...mentioning
confidence: 99%
“…The under-sampling scheme provides high-frequency flicker-free operation for the landmark and uses cameras to capture image streams to estimate moving objects in real time. Yazar et al [ 34 ] proposed a pulse optimization design method based on light-emitting diodes (LEDs) as transmitters. This method quantifies the positioning accuracy by the Cramér-Rao lower limit (CRLB) and studies the problem of maximizing the positioning performance of asynchronous and synchronous visible light positioning systems, which can reduce energy consumption by about 45% or improve positioning accuracy by 25%.…”
Section: Related Workmentioning
confidence: 99%