ALS-P: Light Weight Visible Light Positioning via Ambient Light Sensor

AbstractIn recent time of looming radio frequency (RF) spectrum crisis, visible light communication using lighting infrastructure emerged as a potential alternative at an indoor environment. This paper addresses the setback associated with ambient light interference in an indoor Visible Light Communication (VLC) system to ensure joint communication and illumination performance inside an office room. A novel VLC architecture with suitable white light emitting diode (WLED) luminaire arrangement is presented to minimize the dispersion of signal to interference plus noise ratio (SINR) across the room. Luminaires are categorized in two groups viz. data transmitting illuminants and illuminants for lighting purpose. The first group is dedicated to transmit data as well as serves the purpose of illumination. The other set creates only ambient illumination to achieve quality lighting attributes. The proposed forward error corrected receiver configuration discards the ambient light noise originated by the illuminants that serve the ambient illumination. Tail biting convolutional encoder and viterbi decoder are used at the encoding section of the transmitter and decoding section of the receiver respectively to improve bit error rate. Results obtained through MATLAB simulation shows better average bit error rate (BER) in the order of 10−8 measured at uniformly distributed 25 grid points over the working plane. At the same time achieved average horizontal illuminance with good uniformity comply with ISO recommendation.

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Exploiting Ambient Light Sensor for Authentication on Wearable Devices

2015 Fourth International Conference on Cyber Security, Cyber Warfare, and Digital Forensic (CyberSec) ◽

10.1109/cybersec.2015.27 ◽

2015 ◽

Cited By ~ 8

Author(s):

Hyoseok Yoon ◽

Se-Ho Park ◽

Kyung-Taek Lee

Keyword(s):

Wearable Devices ◽

Ambient Light ◽

Light Sensor

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Multicriteria decision aid analysis for the optimum performance of an ambient light sensor: methodology and case study

Operational Research ◽

10.1007/s12351-020-00575-5 ◽

2020 ◽

Cited By ~ 1

Author(s):

Evangelos-Nikolaos D. Madias ◽

Lambros T. Doulos ◽

Panagiotis A. Kontaxis ◽

Frangiskos V. Topalis

Keyword(s):

Decision Aid ◽

Multicriteria Decision Aid ◽

Ambient Light ◽

Multicriteria Decision ◽

Optimum Performance ◽

Light Sensor

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Passive Visible Light Detection of Humans

Sensors ◽

10.3390/s20071902 ◽

2020 ◽

Vol 20 (7) ◽

pp. 1902 ◽

Cited By ~ 1

Author(s):

Kenneth Deprez ◽

Sander Bastiaens ◽

Luc Martens ◽

Wout Joseph ◽

David Plets

Keyword(s):

Visible Light ◽

Detection Rate ◽

Detection System ◽

Light Emitting Diode ◽

Line Of Sight ◽

Controlled Environment ◽

Ambient Light ◽

Light Emitting ◽

Light Sensing ◽

Reflected Light

This paper experimentally investigates passive human visible light sensing (VLS). A passive VLS system is tested consisting of one light emitting diode (LED) and one photodiode-based receiver, both ceiling-mounted. There is no line of sight between the LED and the receiver, so only reflected light can be considered. The influence of a human is investigated based on the received signal strength (RSS) values of the reflections of ambient light at the photodiode. Depending on the situation, this influence can reach up to ± 50 % . The experimental results show the influence of three various clothing colors, four different walking directions and four different layouts. Based on the obtained results, a human pass-by detection system is proposed and tested. The system achieves a detection rate of 100% in a controlled environment for 21 experiments. For a realistic corridor experiment, the system keeps its detection rate of 100% for 19 experiments.

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