Performance Enhancement and Recognition of VLC Data Frame based on Mobile Camera

CUI Zhao; CHEN Quan-run; ZHANG Tao; ZHENG Wei-bo

doi:10.13756/j.gtxyj.2017.05.018

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Performance Enhancement and Recognition of VLC Data Frame based on Mobile Camera

- Performance Enhancement and Recognition of VLC Data Frame based on Mobile Camera
- Study on Optical communication Issue 5, Pages: 70-74(2017)
- 作者机构：
  
  1. 中国科学院上海技术物理研究所
  2. 中国科学院大学
  3. 上海科技大学
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2017.05.018
  CLC： TN929.1
- Published：2017，
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[1]崔钊,陈泉润,张涛,郑伟波.基于手机摄像头的VLC数据帧性能增强及识别[J].光通信研究,2017(05):70-74.

CUI Zhao, CHEN Quan-run, ZHANG Tao, et al. Performance Enhancement and Recognition of VLC Data Frame based on Mobile Camera. [J]. (5):70-74(2017)
[1]崔钊,陈泉润,张涛,郑伟波.基于手机摄像头的VLC数据帧性能增强及识别[J].光通信研究,2017(05):70-74. DOI： 10.13756/j.gtxyj.2017.05.018.

CUI Zhao, CHEN Quan-run, ZHANG Tao, et al. Performance Enhancement and Recognition of VLC Data Frame based on Mobile Camera. [J]. (5):70-74(2017) DOI： 10.13756/j.gtxyj.2017.05.018.

摘要

将手机的互补金属氧化物半导体摄像头作为可见光通信链路的接收端时

互补金属氧化物半导体的晕染效应会降低摄像头获得的数据帧的消光比

背景光和互补金属氧化物半导体热噪声还会使数据帧的识别率降低。针对上述问题

提出了利用高低帽变换和极大值抑制的优化数据帧的方法

该方法提高了数据帧的消光比并且抑制了局部噪声

得到易于解码的数据帧。但上述优化算法耗时长

为了将算法移植到手机中使用

采用了耗时短的局部加权回归散点平滑信号识别方法对数据帧进行处理。结果表明

局部加权回归散点平滑算法受局部噪声影响较小

与前人采用的算法相比可以获得最佳信噪比。

Abstract

In view of the data frame obtained by the mobile phone CMOS camera which is regard as the receiver in VLC link

the data frame has a low extinction ration due to the blooming effect of the CMOS.In addition to the background light

the thermal noise of CMOS will reduce the data frame recognition rate.Aiming at the above problems

an optimization method using high-low-hat transformation and maximum value suppression is proposed.This method improves the extinction ratio of the data frame and suppresses the local noise.Therefore

the data frame can be decoded easily.However

the optimization algorithm is time consuming.In order to transplant the algorithm into the mobile phone

the data frame is processed by a short time-Local Weighted Scatterplot Smoothing（lowess）signal recognition method.The results show that the lowess algorithm is less affected by local noise

and the optimal signal to noise ratio can be obtained when compared with previous algorithm.

关键词

可见光通信阈值分割互补金属氧化物半导体摄像头

Keywords

VLCthreshold segmentationCMOS camera

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