White LED ceiling lights positioning systems for optical wireless indoor applications

Hann, Swook; Kim, Jung-Hun; Jung, Sang Youn; Park, Chang-Soo

doi:10.1109/ecoc.2010.5621490

Cited by 57 publications

(32 citation statements)

References 3 publications

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“…6, has great impact on weights selection of the GD-LS algorithm. In other words, GD-LS will select some wrong weights to fuse because the selected weights are decided by the distance between the testing sample and the training data, as shown in (21). Note that the GD-LS weight selection strategy is similar to the method in [28].…”

Section: Experimental Setup and Resultsmentioning

confidence: 99%

Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers

et al. 2017

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IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.Abstract: We propose a localization technique by fusing multiple classifiers based on received signal strengths (RSSs) of visible light in which different intensity-modulated sinusoidal signals emitted by LEDs are captured by photodiodes placed at various grid points. First, we obtain some approximate RSSs fingerprints by capturing the peaks of power spectral density of the received signals at each given grid point. Unlike the existing RSSs-based algorithms, several representative machine learning algorithms are adopted to train multiple classifiers based on these RSSs fingerprints. Then, two robust fusion localization algorithms, namely, grid-independent least square and grid-dependent least square (GD-LS), are proposed to combine the outputs of these classifiers. A singular value decomposition (SVD)-based LS (LS-SVD) method is proposed to mitigate the numerical stability problem when the prediction matrix is singular. Experiments conducted on an intensity-modulated direct detection system show that the probability of having mean square positioning error of less than 5 cm achieved by GD-LS is improved by 93.03% and 93.15%, respectively, as compared to those by the RSS ratio and RSS matching methods with the fast Fourier transform length of 2000.Index Terms: Indoor positioning, visible light communications (VLC), received signal strengths (RSSs) fingerprints, intensity modulated direct detection (IM/DD), machine learning, fusion localization.

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Section: Experimental Setup and Resultsmentioning

confidence: 99%

Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers

et al. 2017

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“…The radiation of LED follows Lambertian radiation pattern. The channel gain is expressed as follow [7][8][9] ( )…”

Section: Principle and Modelmentioning

confidence: 99%

Research on illuminance distribution of LED spherical arrays for indoor visible light communication

Yang

Sun

et al. 2013

SPIE Proceedings

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Illuminance distribution of LED spherical arrays is studied by theoretical analysis and simulation. The optimal layout of the LED spherical array is founded by changing the angle, the ball radius, and the power of different LED.The uniformity of illumination of the LED spherical array is verified, which is better than LED planar array. In addition, the illuminance distribution of indoor ground surface illuminated by LED spherical array with different parameters and the related curves are obtained. The LED spherical array mentioned in this paper can be useful in the application of indoor visible light communication.

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“…Indoor localization is an potential application for VLC. Several works compute the fine-grained location by analyzing the signal strength of the received light through a specific method such as the correlation method based on the Lambertian law [10], [19], [20], frequency division multiplexing [21], and time differences of arrival [22]. However, the digital communications capability, which comes naturally with VLC, is either lost or not addressed.…”

Section: Introductionmentioning

confidence: 99%

A Framework for Simultaneous Message Broadcasting Using CDMA-Based Visible Light Communications

et al. 2015

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IoT applications are fast growing recently. One of the "things" that has a lot of potential is the lighting equipment since it is widely used in our daily life. Recently, the technology of visible light communication (VLC) has been widely discussed. VLC has several advantages, such as freedom of license, line-of-sight security, and less health concern compared to radio-based systems. In addition, the rapid progress of light emitting diode (LED) technology by solid-state lighting allows VLC to be easily deployed and integrated with existing lighting infrastructure at low costs. However, VLC, when integrated with lighting infrastructure, is usually for one-way communication and is highly sensitive to external interfering light. Thus, transmitting or broadcasting multiple messages simultaneously over a visible light channel without any preprocessing may result in serious collisions. In this paper, we propose a framework to tackle these problems by optical code division multiple access (CDMA) for VLC. With our approach, a VLC receiver can enter an environment without any prior configuration and can be designed with simple hardware. Even a mobile device with a high-resolution photodiode sensor can be used as a receiver. We demonstrate an application of indoor positioning by querying the location service provider on Internet with the IDs decoded from the received light signals. The prototyping results reveal some communication properties of CDMA-based VLC and its potential for indoor positioning applications.Index Terms-broadcast, CDMA, IEEE 802.15.7, localization, pervasive computing, visible light communication.

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White LED ceiling lights positioning systems for optical wireless indoor applications

Abstract: An indoor positioning system based on white LED communications is proposed and demonstrated. This positioning system shows that mean of distance errors is 0.651 cm in the space of 30 cm x 30 cm x 50 cm.

Cited by 57 publications

References 3 publications

Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers

Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers

Research on illuminance distribution of LED spherical arrays for indoor visible light communication

A Framework for Simultaneous Message Broadcasting Using CDMA-Based Visible Light Communications

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