典型文献
Separate Least Mean Square Based Equalizer with Joint Optimization for Multi-CAP Visible Light Communication
文献摘要：
Visible light communication (VLC) is ex-pected to be a potential candidate of the key technolo-gies in the sixth generation (6G) wireless communi-cation system to support Internet of Things (IoT) ap-plications.In this work,a separate least mean square(S-LMS) equalizer is proposed to compensate low-pass frequency response in VLC system.Joint opti-mization is employed to realize the proposed S-LMS equalizer with pre-part and post-part by introducing Lagrangian.For verification,the performance of VLC system based on multi-band carrier-less amplitude and phase (m-CAP) modulation with S-LMS equalizer is investigated and compared with that without equalizer,with LMS equalizer and with recursive least squares(RLS)-Volterra equalizer.Results indicate the pro-posed equalizer shows significant improved bit er-ror ratio (BER) performance under the same condi-tions.Compared to the RLS-Volterra equalizer,S-LMS equalizer achieves better performance under low data rate or high signal noise ratio (SNR) conditions with obviously lower computational complexity.
文献关键词：
中图分类号：
作者姓名：
Jianli Jin;Jianping Wang;Huimin Lu;Danyang Chen
作者机构：
School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China
文献出处：
引用格式：
[1]Jianli Jin;Jianping Wang;Huimin Lu;Danyang Chen-.Separate Least Mean Square Based Equalizer with Joint Optimization for Multi-CAP Visible Light Communication)[J].中国通信（英文版）,2022(01):264-273
A类：
B类：
Separate,Least,Mean,Square,Based,Equalizer,Joint,Optimization,Multi,CAP,Visible,Light,Communication,light,communication,VLC,pected,potential,candidate,key,technolo,gies,sixth,generation,6G,wireless,system,support,Internet,Things,IoT,ap,plications,this,work,separate,least,mean,LMS,equalizer,proposed,compensate,pass,frequency,response,opti,employed,realize,pre,part,post,by,introducing,Lagrangian,For,verification,performance,multi,band,carrier,amplitude,phase,modulation,investigated,compared,that,without,recursive,squares,RLS,Volterra,Results,indicate,shows,significant,improved,bit,ror,BER,under,same,Compared,achieves,better,data,high,signal,noise,SNR,conditions,obviously,lower,computational,complexity
AB值：
0.57749
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
