Luminance Inversion for Parallel Transmission Visible Light Communication Between LCD and Image Sensor Camera

Luminance inversion (LI) is proposed to compensate nonlinear characteristics between a liquid crystal display (LCD) and an image sensor (IS) camera of the parallel transmission (PT) visible light communication (VLC). In the PT VLC system reported in [1] , which incorporates N spatial frequencies wit...

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Veröffentlicht in:Journal of lightwave technology 2021-11, Vol.39 (21), p.6759-6767
Hauptverfasser: Takahashi, Kotomi, Kamakura, Koji, Kinoshita, Masayuki, Yamazato, Takaya
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container_issue 21
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container_title Journal of lightwave technology
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creator Takahashi, Kotomi
Kamakura, Koji
Kinoshita, Masayuki
Yamazato, Takaya
description Luminance inversion (LI) is proposed to compensate nonlinear characteristics between a liquid crystal display (LCD) and an image sensor (IS) camera of the parallel transmission (PT) visible light communication (VLC). In the PT VLC system reported in [1] , which incorporates N spatial frequencies with P -ary phase shift keying ( P -PSK) through M -point inverse discrete Fourier transform ( M -IDFT), each point consists of regions of pixels on an LCD and the M points transmit data spatially in parallel at one frame. Since the transfer characteristics between the LCD and IS camera is nonlinear, the received signal at the IS camera receiver is distorted. The effect is severe because the signal of the PT system is, in essence, the discrete multitone (DMT) as a baseband version of orthogonal frequency-division multiplexing (OFDM) signal, thus suffering from high peak-to-average ratio (PAPR). To linearize it between the LCD and IS camera, our approach is to calculate a complement of the digital data fed to the driver of the pixel and then to feed the pair of the digital data and its luminance complement to the driver during two successive frames. In the receiver, the difference of the signals received in the two successive frames is calculated for each of the M detected regions on the IS plane, and then they input to the following M -point DFT in the PT system. With this LI process, wider linear characteristics is obtained than without LI. Experimental results show that the number of bits per frame that the PT system with LI can accommodate without any error is 315 bits/frame and 100 bits/frame for 8- and 16-PSK, which are much larger than 12 bits/frame and 0 bits/frame for the 8- and 16-PSK PT system without LI, respectively.
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In the receiver, the difference of the signals received in the two successive frames is calculated for each of the M detected regions on the IS plane, and then they input to the following M -point DFT in the PT system. With this LI process, wider linear characteristics is obtained than without LI. Experimental results show that the number of bits per frame that the PT system with LI can accommodate without any error is 315 bits/frame and 100 bits/frame for 8- and 16-PSK, which are much larger than 12 bits/frame and 0 bits/frame for the 8- and 16-PSK PT system without LI, respectively.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JLT.2021.3106911</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-3779-1777</orcidid><orcidid>https://orcid.org/0000-0001-8349-7806</orcidid><orcidid>https://orcid.org/0000-0001-5256-4965</orcidid><oa>free_for_read</oa></addata></record>
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subjects Cameras
Digital data
Discrete Fourier transforms
Fourier transforms
Frames (data processing)
free-space optical system
image sensor communication
Image transmission
LCD transmitter
LCDs
Liquid crystal displays
Mathematical analysis
Optical communication
Optical imaging
Optical receivers
Optical sensors
Optical transmitters
optical wireless communication
Orthogonal Frequency Division Multiplexing
Phase shift keying
Pixels
spatial OFDM
spatial parallel transmission
Visible light communication
title Luminance Inversion for Parallel Transmission Visible Light Communication Between LCD and Image Sensor Camera
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