孙浩博2,
王法松2,,
1.郑州大学河南省超算中心 郑州 450001
2.郑州大学信息工程学院 郑州 450001
基金项目:国家自然科学基金(61401401)，河南省科技攻关项目(192102210088)
详细信息
作者简介:商建东：男，1968年生，教授，博士生导师，研究方向为高性能计算、计算机网络与通信
孙浩博：男，1995年生，硕士生，研究方向为可见光通信
王法松：男，1979年生，教授，硕士生导师，研究方向为盲信号处理、可见光通信
通讯作者:王法松 iefswang@zzu.edu.cn
中图分类号:TN929.12计量
文章访问数:227
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被引次数:0
出版历程
收稿日期:2020-08-11
修回日期:2021-04-15
网络出版日期:2021-07-14
刊出日期:2021-10-18
SVM-aided Signal Detection in Generalized Space Shift Keying Visible Light Communication System
Jiandong SHANG1,Haobo SUN2,
Fasong WANG2,,
1. Henan Supercomputing Center, Zhengzhou University, Zhengzhou 450001, China
2. School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
Funds:The National Natural Science Foundation of China (61401401), The Science and Technology Research Project of Henan Province (192102210088)
摘要
摘要:针对室内广义空移键控(GSSK)调制的可见光通信(VLC)系统，该文提出一种基于支持向量机(SVM)的机器学习信号检测算法。在一般的VLC系统中，极大似然(ML)检测是最优检测算法，但是ML检测算法具有很高的计算复杂度。为了解决此问题，该文利用机器学习中的SVM分类思想实现对系统接收端的信号检测，以在保证信号检测正确率的情况下，降低计算复杂度，提高GSSK-VLC系统的信号检测效率。仿真结果表明，该文提出的针对室内GSSK-VLC系统的SVM信号检测算法与ML检测算法相比，在具有接近ML的误比特率(BER)性能的同时，计算复杂度明显降低，有效提升了系统的检测性能。
关键词:可见光通信/
信号检测/
支持向量机/
空移键控/
广义空移键控
Abstract:Novel signal detection technique is conceived for Generalized Space Shift Keying (GSSK) modulated indoor Visible Light Communication (VLC) system, which is aided by one of popular machine learning approach termed as Support Vector Machine (SVM). For general classic VLC system, as the optimal detection algorithm, Maximum Likelihood (ML) detection has a high computational complexity. In order to alleviate this problem, classification idea in SVM is utilized to realize signal detection at the user’s receiving end by a particular trained learning model. As a result, a signal detection algorithm for the considered GSSK-VLC system based on SVM is designed with lower computational complexity and nearly optimal detection accuracy. Simulation results demonstrate that the proposed SVM-aided signal detection technique can have near optima ML Bit Error Rate (BER) performance while the computational complexity is significantly reduced in the considered indoor GSSK-VLC system
Key words:Visible Light Communication (VLC)/
Signal detection/
Support Vector Machine (SVM)/
Space Shift Keying (SSK)/
Generalized Space Shift Keying (GSSK)
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