基于SVD和GMD的水下可见光通信研究  

Research on underwater visible light communication based on SVD and GMD

作　　者：郭东升 李言 Guo Dongsheng;Li Yan(College of Information Science and Technology,Tibet University,Lhasa 850032,China)

机构地区：[1]西藏大学信息科学技术学院,西藏拉萨850032

出　　处：《无线互联科技》2023年第20期15-18,共4页Wireless Internet Technology

摘　　要：为了提高系统的可靠性和传输质量,文章研究了多输入多输出可见光通信(Multiple-Input Multiple-Output Visible Light Communications,MIMO-VLC)系统中的预编码方案。奇异值分解(Singular Value Decomposition,SVD)的预编码方案会得到信噪比(Signal-to-Noise Ratio,SNR)相差较大的子信道,为此文章提出了一种基于SVD和几何均值分解(Geometric Mean Decomposition,GMD)的预编码方案。该方案可以有效地抑制用户间干扰,得到SNR相同的子信道,并且消除复杂的比特分配过程,并通过仿真结果把基于SVD和GMD的预编码方案与双SVD预编码方案进行对比,验证了该方案的可靠性。This paper explores the precoding design for multi-input multi-output visible light communication(MIMO-VLC)systems,which aims to enhance the system reliability and transmission quality.The conventional singular value decomposition(SVD)based precoding scheme results in subchannels with large signal-to-noise ratio(SNR)disparity.To overcome this challenge,we propose a precoding scheme based on SVD and geometric mean decomposition(GMD).The proposed scheme can effectively reduce the inter-user interference,achieve subchannels with equalized SNR,and simplify the bit allocation process.We show the advantage of the proposed SVD-GMD based precoding scheme over the double SVD precoding scheme through simulation results,and validate the feasibility of the proposed scheme.

关 键 词：多输入多输出 可见光通信 奇异值分解 几何均值分解 可靠性 

分 类 号：TN929.1[电子电信—通信与信息系统]