室内环境VLC-PPM降噪算法及干扰抑制  

Indoor VLC-PPM noise reduction algorithm and interference suppression

作　　者：李卓 闫坤 成顺利 李昂阳 LI Zhuo, YAN Kun, CHENG Shunli, LI Angyang(School of Information and Communication, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China)

机构地区：[1]桂林电子科技大学信息与通信学院

出　　处：《激光杂志》2018年第11期107-111,共5页Laser Journal

基　　金：桂林电子科技大学(No.2017YJCX19)

摘　　要：为降低室内自由空间可见光通信（VLC）的背景光噪声及干扰对通信系统性能的影响,利用白色发光二极管（LED）设计搭建了可见光通信系统模型。通过此系统模型测量的实验数据,详细分析了不同环境下的背景噪声与干扰。并用集合经验模态分解（EEMD）算法与陷波器分别对背景光噪声和干扰进行了降噪和抑制。最后,通过误包率对系统性能进行了评估,针对降噪后系统的误包率和未降噪系统的误包率进行了实验分析。实验结果表明,降噪可以有效的降低背景光噪声对室内VLC系统的影响,提高系统的抗干扰能力和稳定性与可靠性。In order to reduce the impact of ambient light noise and interference on the performance of indoor visible light communication（ VLC） systems. A VLC prototype system using white light-emitting diodes（ LEDs） is established. Based on the prototype,signals are received from the real-world conditions,the background noise and interference in different environments are analyzed with the measured experimental data in detail. Ensemble Empirical Mode Decomposition（ EEMD） and notch filter are proposed to restrain the background noise and interference. Finally,evaluate the impact of the package rate errors（ PERs） on the system performance with different demodulation methods respectively. The experimental results show that the EEMD can effectively reduce the impact of background light noise on indoor VLC system and improve the system＇s stability and reliability.

关 键 词：可见光通信 噪声与干扰 集合经验模态分解 误包率 

分 类 号：TN929.1[电子电信—通信与信息系统]