Demonstration of a low‐complexity memory‐polynomial‐aided neural network equalizer for CAP visible‐light communication with superluminescent diode

作     者：Fangchen Hu Jorge A.Holguin-Lerma Yuan Mao Peng Zou Chao Shen Tien Khee Ng Boon S.Ooi Nan Chi Fangchen Hu;Jorge A. Holguin-Lerma;Yuan Mao;Peng Zou;Chao Shen;Tien Khee Ng;Boon S. Ooi;Nan Chi

作者机构：Key Laboratory for Information Science of Electromagnetic Waves(MoE)Fudan UniversityShanghai 200433China Photonics LaboratoryKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia 

出 版 物：《Opto-Electronic Advances》 (光电进展（英文）)

年 卷 期：2020年第3卷第8期

页      面：1-11页

核心收录：

学科分类：12[管理学] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0817[工学-化学工程与技术] 081104[工学-模式识别与智能系统] 0805[工学-材料科学与工程（可授工学、理学学位）] 0835[工学-软件工程] 0803[工学-光学工程] 0811[工学-控制科学与工程] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：the National Key Research,Development Program of China(2017YFB0403603) the NSFC project(No.61925104).JAHL,YM,TKN and BSO gratefully acknowledge the financial support from King Abdullah University of Science and Technology(KAUST)through BAS/1/1614-01-01,REP/1/2878-01-01,GEN/1/6607-01-01,and KCR/1/2081-01-01 the King Abdullah University of Science and Technology(KAUST)Office of Sponsored Research(OSR)under Award No.OSR-CRG2017-3417.JAHL further acknowledge access to the KAUST Nanofabrication Core Lab for the fabrication of devices 

主　　题：superluminescent diode visible-light communication neural network 

摘      要：Visible-light communication(VLC)stands as a promising component of the future communication network by providing high-capacity,low-latency,and high-security wireless *** diode(SLD)is proposed as a new light emitter in the VLC system due to its properties of droop-free emission,high optical power density,and low *** this paper,we analyze a VLC system based on SLD,demonstrating effective implementation of carrierless amplitude and phase modulation(CAP).We create a low-complexity memory-polynomial-aided neural network(MPANN)to replace the traditional finite impulse response(FIR)post-equalization filters of CAP,leading to significant mitigation of the linear and nonlinear distortion of the VLC *** MPANN shows a gain in Q factor of up to 2.7 dB higher than other equalizers,and more than four times lower complexity than a standard deep neural network(DNN),hence,the proposed MPANN opens a pathway for the next generation of robust and efficient neural network equalizers in *** experimentally demonstrate a proof-of-concept 2.95-Gbit/s transmission using MPANN-aided CAP with 16-quadrature amplitude modulation(16-QAM)through a 30-cm channel based on the 442-nm blue SLD emitter.