Impact of Transmitter Positioning and Orientation Uncertainty on RSS-Based Visible Light Positioning Accuracy

Chaudhary, Neha; Alves, Luís Nero; Ghassemlooy, Zabih

doi:10.3390/s21093044

Cited by 12 publications

(3 citation statements)

References 27 publications

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“…However, with proper calibration and signal processing techniques, RSS-based VLP systems have shown promising results in terms of accuracy and costeffectiveness [70]. In [71], a RSS-based VLP system is shown with simulation results indicating a positioning accuracy in the low double-digit centimeter range.…”

Section: B Visible Light Positioningmentioning

confidence: 99%

LEDPOS: Indoor Visible Light Positioning Based on LED as Sensor and Machine Learning

Fragner,

Krutzler,

Weiss

et al. 2024

IEEE Access

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Accurate indoor positioning is becoming increasingly important, especially in highly automated industrial environments with robots. In addition, LED-based lighting is also being used more and more frequently in such application fields. In the present work, the possibility to exploit the LED lighting infrastructure with a novel approach for implementing an accurate indoor positioning system is investigated. For this purpose, a demonstrator luminaire LEDPOS is proposed and evaluated that combines visible light sensing based on backscattered reflections to accurately estimate the two-dimensional position of a retroreflective foil at the floor while providing simultaneously an unimpaired room illumination. In particular, the same LED elements are shared for illumination and for the sensing functionality. Furthermore, the algorithm for data evaluation and position determination is based on a machine learning approach that is implemented on the edge in the luminaire. Thus, the presented approach allows for a simple and cost-efficient implementation in different applications. The experimental characterization of the LEDPOS demonstrator in a real-world scenario shows that a very good positioning accuracy can be achieved, in which the average error for the two-dimensional position of the retroreflective foil within an area of 0.64 m 2 remains in the range of 3 cm.

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Section: B Visible Light Positioningmentioning

confidence: 99%

LEDPOS: Indoor Visible Light Positioning Based on LED as Sensor and Machine Learning

Fragner,

Krutzler,

Weiss

et al. 2024

IEEE Access

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“…On the contrary, a positioning system based on RSS can easily estimate the distance from the received signal strength and obtain high-precision positioning. Hence, several visible-light positioning systems based on RSS have been presented in recent years [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Indoor High-Precision 3D Positioning System Based on Visible-Light Communication Using Improved Whale Optimization Algorithm

et al. 2022

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Visible-light communication (VLC) is a promising method for indoor positioning. The received signal strength algorithm is the most widely used localization algorithm in visible-light positioning (VLP) systems. However, in a VLP system, the photodiode (PD) will have a small rotation angle during movement, which will result in a massive positioning error ignoring the angle. In this study, a three-dimensional (3D) indoor VLP system using an improved whale optimization algorithm (IWOA) is proposed to reduce the error caused by the PD rotation. Firstly, the model of the VLC system with the PD rotation angles is introduced. Secondly, a novel IWOA with an elite opposition-based learning strategy and Lévy flight strategy is proposed. The convergence speed and accuracy of the WOA are improved. Lastly, the IWOA algorithm is efficiently utilized to address the problem with the PD rotation in the indoor VLP system. Simulation results show that the average error of 3D positioning is 2.14 cm with no PD rotation. When the PD has a rotation angle, the average positioning error estimated by ignoring the rotation angle is 27.14 cm, while that estimated by considering the rotation angle is 7.85 cm. In the VLP system, the positioning error with the PD rotation angle is effectively reduced by the proposed algorithm, which can be applied in a variety of indoor location scenes.

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“…The proposed scheme offers a significant accuracy improvement of up to~66%, as compared to a typical non-tilted transmitter VLP, at a dedicated location within a room, using a low complex linear least square algorithm with polynomial regression. In the last paper on "Impact of Transmitter Positioning and Orientation Uncertainty on RSS-Based Visible Light Positioning Accuracy", N. Chaudhary et al [19] present simulation-based results on the impact of the transmitter's position and orientation uncertainty, on the accuracy of the VLP system based on RSS. Authors focus on several constraining factors for RSS-based algorithms, particularly multipath channel characteristics and set-up uncertainties.…”

mentioning

confidence: 99%

Editorial to the Special Issue on “Visible Light Communications, Networking, and Sensing”

Zvánovec

Ghassemlooy

Pérez‐Jiménez

et al. 2021

Sensors

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Impact of Transmitter Positioning and Orientation Uncertainty on RSS-Based Visible Light Positioning Accuracy

Cited by 12 publications

References 27 publications

LEDPOS: Indoor Visible Light Positioning Based on LED as Sensor and Machine Learning

LEDPOS: Indoor Visible Light Positioning Based on LED as Sensor and Machine Learning

Indoor High-Precision 3D Positioning System Based on Visible-Light Communication Using Improved Whale Optimization Algorithm

Editorial to the Special Issue on “Visible Light Communications, Networking, and Sensing”

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