Novel Demodulation Scheme Based on Blurred Images for Image-Sensor-Based Visible Light Communication

Yukimasa Ohira, Shintaro Arai, T. Yendo, T. Yamazato, Hiraku Okada, T. Fujii, K. Kamakura
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引用次数: 8

Abstract

This paper proposes a novel data detection scheme based on the occurrence of blurred output images in image- sensor-based visible light communication systems. This system's receiver suffers from an inability to detect correct LED luminance values and demodulation of data because the captured image blurs owing to defocusing. The proposed method assumes that the light emitted by all LEDs that is diffused by the blur can be approximated by applying a Gaussian filter and expresses all LED luminance values as convolution equations based on this diffusion of the LED light. We estimate each LED light's condition by simultaneously solving these convolution equations and recover data according to the estimated result. To confirm the accuracy of the proposed method, we conduct computer simulations and an implementation experiment to evaluate the bit error rate performance of the proposed method.
基于图像传感器的可见光通信模糊图像解调新方案
本文提出了一种基于图像传感器的可见光通信系统中输出图像出现模糊的数据检测方案。该系统的接收器无法检测正确的LED亮度值和数据解调,因为捕获的图像由于散焦而模糊。该方法假设所有LED发出的被模糊扩散的光可以通过应用高斯滤波器来近似,并将所有LED的亮度值表示为基于LED光扩散的卷积方程。我们通过同时求解这些卷积方程来估计每个LED灯的状态,并根据估计结果恢复数据。为了验证所提出方法的准确性,我们进行了计算机模拟和实现实验来评估所提出方法的误码率性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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