Forward and correctional OFDM-based visible light positioning

Li, Wei; Huang, Zhitong; Zhao, Rong; He, Peixuan; Ji, Yuefeng

doi:10.1117/1.oe.56.9.090501

Cited by 4 publications

(5 citation statements)

References 10 publications

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“…The driving force behind VLC-based IPS is the use of existing and future LED infrastructure, as well as the integration of state-of-the-art smart mobile devices equipped with light sensors (see e.g., [34]). By leveraging these resources and developing sophisticated algorithms, novel indoor positioning systems can be created, see Figure 2 in reference [14] for an illustrative example. In VLC-based IPS, the primary choice for transmitters revolves around LEDs, as opposed to incandescent or fluorescent lamps/tubes, in line with the future trend of lighting systems.…”

Section: What Is Vlc-based Ipsmentioning

confidence: 99%

“…Even, sometimes it is assumed that the environment is noiseless or when the experiment is conducted in the dark. Some also consider that the interference due to other light sources can be avoided due to the use of different frequencies [14]. However, it should be noted that ambient light cannot be ignored for the accuracy of positioning.…”

Section: Noise and Interferencementioning

confidence: 99%

“…Evaluating performance in different work environments is critical to ensuring the robustness of positioning systems [14]. Examples of such environments include large conference rooms, small cubicles and conventional corridors.…”

Section: Easy-to-use and Robustnessmentioning

confidence: 99%

“…Notable companies such as Google, Apple, and Microsoft [14] have embarked on the development of novel indoor positioning solutions. This has further fueled the discourse in this area.…”

Section: Introductionmentioning

confidence: 99%

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A Survey of Visible Light Communication Based Indoor Positioning Systems

Wang,

Niu,

Cao

et al. 2024

Preprint

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There is a growing demand for indoor positioning systems (IPS) in a wide range of applications. However, traditional solutions such as GPS face many technical challenges. In recent years, a promising alternative has been emerging: IPS based on visible light communication (VLC), which offers a combination of which is highly accurate, low cost and energy efficient. This article presents a comprehensive review of VLC-based IPS, providing a tutorial-like overview of the system. It begins by comparing various positioning systems and providing background information on their inherent limitations. The mechanisms of VLC-based IPS are then discussed, including a comprehensive examination of their performance metrics and underlying assumptions. The complexity and efficiency of VLC-based IPS is examined by analyzing factors such as channel modeling, signal processing, and localization algorithms. To optimize the system, a variety of strategies are explored. These include the design of efficient modulation schemes, the development of advanced encoding and decoding algorithms, the implementation of adaptive power control, and the use of state-of-the-art localization algorithms. Additionally, system parameters such as LED placement, receiver sensitivity, and transmit power are carefully examined to highlight their impact on energy efficiency and localization accuracy. Altogether, this paper serves as a comprehensive guide to VLC IPS, providing in-depth insights into its vast potential and the challenges it presents.

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Section: What Is Vlc-based Ipsmentioning

confidence: 99%

Section: Noise and Interferencementioning

confidence: 99%

Section: Easy-to-use and Robustnessmentioning

confidence: 99%

“…Notable companies such as Google, Apple, and Microsoft [14] have embarked on the development of novel indoor positioning solutions. This has further fueled the discourse in this area.…”

Section: Introductionmentioning

confidence: 99%

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A Survey of Visible Light Communication Based Indoor Positioning Systems

Wang,

Niu,

Cao

et al. 2024

Preprint

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“…Moreover, their complementary system, namely visible light communication (VLC), is a proper approach for indoor data access providing higher multiuser capacity [6]- [8]. Exploiting the ubiquitous presence of smartphones and their powerful built-in sensors such as front-facing cameras and accelerometers, development of visible light indoor positioning algorithm using unmodified smartphones is the subject of ongoing research in this area [9], [10].…”

Section: Introductionmentioning

confidence: 99%

GOPA: Geometrical Optics Positioning Algorithm

Hosseinianfar¹,

Chizari

Salehi

2019

2019 IEEE International Conference on Consumer Electronics (ICCE)

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In this paper, we propose an accurate visible light indoor localization system for a smartphone using the commercial light-emitting diode (LED) panels which are used primarily for lighting. Each of designed lighting panel contains a space-colorcoded identifier, a matrix with a unique pattern of spatially separated colored LEDs, for labeling different positioning cells while the lighting color is kept white by balancing the number of different sets of colored LEDs. The advantage of this idea is that we do not use the time-frequency domain of visible light communication (VLC) networks resources for positioning signaling. Our positioning technique called geometrical optics positioning algorithm (GOPA) is an angle of arrival (AOA)-based geometrical algorithm on smartphones to locate the device. The front-facing camera of the smartphone is used at the receiver side to capture the image. Experimental results show robust two-dimensional (2-D) and three-dimensional (3-D) positioning. The experimental mean positioning error for 2-D positioning is 0.54 cm, in case of ignoring the tilt. The experimental mean positioning errors for 3-D positioning are respectively 1.24 cm, and 1.85 cm for ideal non-tilted and non-oriented, and non-tilted but orientated scenarios.Index Terms-Visible light indoor positioning, space-colorcoded identifier, visible light communications (VLC), angle of arrival (AOA), image sensor, camera-based localization.

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