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通过累积采样提高光学相机通信性能。

Enhancing the performance of optical camera communication via accumulative sampling.

作者信息

Zhang Pinpin, Wang Qiuyu, Yang Yanbing, Wang Yunfeng, Sun Yimao, Xu Wenzheng, Luo Jun, Chen Liangyin

出版信息

Opt Express. 2021 Jun 7;29(12):19015-19023. doi: 10.1364/OE.430503.

Abstract

Deemed as a practical approach to realize Visible Light Communication on commercial-off-the-shelf devices, the Optical Camera Communication (OCC) is attracting increasing attention, thanks to its readiness to be built purely upon ubiquitous LED illuminating infrastructure and handy smartphones. However, limited by the low sampling ability of the built-in camera on a smartphone, the performance of existing OCC systems is still far away from the requirements of practical applications. To this end, we further investigate the reception ability of the smartphone's camera and propose an accumulative sampling scheme to improve the performance of the OCC system. Essentially, the proposed scheme can use all the grayscale information of the pixels projected by the LED transmitter, whereas the conventional ones normally use single row (or column) pixels for demodulating. By implementing the lightweight demodulation algorithm with accumulative sampling, we experimentally verify its effectiveness for supporting higher transmission frequency hence better performance in terms of data rate. Extensive evaluations have shown the BERs of the proposed method are over 87% and 96% lower than that provided by the baselines at a maximum transmission frequency of 5 kHz for the Samsung S8 and iPhone 8 Plus receivers, respectively.

摘要

作为一种在现成商用设备上实现可见光通信的实用方法,光学相机通信(OCC)正受到越来越多的关注,这得益于它可以完全基于无处不在的LED照明基础设施和便捷的智能手机构建。然而,受智能手机内置相机低采样能力的限制,现有OCC系统的性能仍远未达到实际应用的要求。为此,我们进一步研究了智能手机相机的接收能力,并提出了一种累积采样方案来提高OCC系统的性能。从本质上讲,所提出的方案可以利用LED发射器投射的像素的所有灰度信息,而传统方案通常使用单行(或单列)像素进行解调。通过采用具有累积采样的轻量级解调算法,我们通过实验验证了其在支持更高传输频率方面的有效性,从而在数据速率方面具有更好的性能。广泛的评估表明,对于三星S8和iPhone 8 Plus接收器,在所提出方法的最大传输频率为5 kHz时,其误码率分别比基线提供的误码率低87%和96%以上。

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