Optimal Pulse Design for Visible Light Positioning Systems

Recently, indoor positioning systems have attracted a great deal of research attention, as they have a variety of applications in the fields of science and industry. In this study, we propose an innovative and easily implemented solution for indoor positioning. The solution is based on an indoor visible light positioning system and dual-function machine learning (ML) algorithms. Our solution increases positioning accuracy under the negative effect of multipath reflections and decreases the computational time for ML algorithms. Initially, we perform a noise reduction process to eliminate low-intensity reflective signals and minimize noise. Then, we divide the floor of the room into two separate areas using the ML classification function. This significantly reduces the computational time and partially improves the positioning accuracy of our system. Finally, the regression function of those ML algorithms is applied to predict the location of the optical receiver. By using extensive computer simulations, we have demonstrated that the execution time required by certain dual-function algorithms to determine indoor positioning is decreased after area division and noise reduction have been applied. In the best case, the proposed solution took 78.26% less time and provided a 52.55% improvement in positioning accuracy.

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High-Accuracy Three-Dimensional Visible Light Positioning Systems Using Image Sensor

2018 IEEE 87th Vehicular Technology Conference (VTC Spring) ◽

10.1109/vtcspring.2018.8417727 ◽

2018 ◽

Cited By ~ 1

Author(s):

Peixi Liu ◽

Rui Jiang ◽

Ruowen Bai ◽

Tianqi Mao ◽

Jinguo Quan ◽

...

Keyword(s):

Visible Light ◽

Three Dimensional ◽

Image Sensor ◽

High Accuracy ◽

Positioning Systems

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Analysis of Multiple-Access Discrimination Techniques for the Development of a PSD-Based VLP System

Sensors ◽

10.3390/s20061717 ◽

2020 ◽

Vol 20 (6) ◽

pp. 1717 ◽

Cited By ~ 4

Author(s):

Álvaro De-La-Llana-Calvo ◽

José-Luis Lázaro-Galilea ◽

Alfredo Gardel-Vicente ◽

David Rodríguez-Navarro ◽

Borja Rubiano-Muriel ◽

...

Keyword(s):

Visible Light ◽

Multiple Access ◽

Error Rates ◽

Integration Time ◽

Optical Signals ◽

Positioning Systems ◽

Advantages And Disadvantages ◽

Positioning Errors ◽

High Measurement ◽

Code Division Multiple

There are several technologies and techniques available when developing indoor positioning systems (IPS). Recently, the development of positioning systems based on optical signals has aroused great interest, mainly those using visible light from the lighting infrastructure. In this work, we analyze which techniques give better results to lay the foundations for the development of a Visible Light Positioning system (VLP). Working only with a receiver, it is analyzed what the result of determining the position of different emitters is when they emit simultaneously and without any synchronism. The results obtained by Frequency Division Multiple Access (FDMA) (with digital bandpass filters, I/Q demodulation, and FFT) and Code Division Multiple Access (CDMA) are compared. The interference between signals when emitted simultaneously from multiple emitters is analyzed as well as the errors they cause and how these effects can be mitigated. As a result of the research, the advantages and disadvantages using different multiple-access determination techniques are determined. In addition, advantages and disadvantages of using FDMA and CDMA techniques as well as hardware requirements that make one more feasible than the other are presented. The system behavior, in terms of errors, is established using FDMA and different configurations such as: I/Q, RMS, or FFT. The work also determines the error rates that can be obtained with the different FDMA and CDMA configurations, considering different error scenarios and integration time. Synthetic emulations and empirical tests were performed, which concluded that IPS systems based on optical signals and PSD sensors can achieve very high measurement accuracies and a high measurement rate. Obtained positioning errors in a room of 3 m height are less than 1 cm when working in noisy environments.

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