基于MU-MIMO波束赋形的列车Wi-Fi WAVE误码率改进方法研究  

Improved Method of Train Wi-Fi WAVE Bit Error Rate based on MU-MIMO Beamforming

作　　者：吴星辰 李国栋 李友高 常沛炜 许朝智 WU Xingchen;LI Guodong;LI Yougao;CHANG Peiwei;XV Chaozhi(Jihua Laboratory,Foshan 528000,China;CRRC Changchun Railway Vehicles Co.,Ltd,Changchun 130000,China)

机构地区：[1]季华实验室,广东佛山528000 [2]中车长春轨道客车股份有限公司,吉林长春130000

出　　处：《大连交通大学学报》2022年第5期82-85,共4页Journal of Dalian Jiaotong University

基　　金：国家自然科学基金资助项目(E050303)。

摘　　要：为了改善列车在通过Wi-Fi WAVE实现车地通信时无线通信讯号误码率较高的问题,提出将多用户-多输入多输出(MU-MIMO)波束赋形技术应用于Wi-Fi WAVE系统的方法.Wi-Fi WAVE系统的波束赋形矩阵算法选用的是块对角化预编码算法,相应的波束赋形矩阵的解码算法分别为奇异值分解算法和最小均方误差检测技术.构建了由列车和3个接收装置构成的Wi-Fi WAVE系统组内通信,对上述方法进行了测试.实验结果表明:该方法能够有效提高系统信噪比,降低系统误码率.In order to solve the problem of high bit error rate of wireless communication signal when train communicates with ground via Wi-Fi WAVE,a method of applying mu-MIMO beam forming technology to Wi-Fi WAVE system is proposed.The block diagonalization precoding algorithm is selected for the beam forming matrix algorithm of the Wi-Fi WAVE system,and the corresponding decoding algorithms of the beam forming matrix are singular value decomposition algorithm and minimum mean square error detection technology respectively.A Wi-Fi WAVE communication system consisting of a train and three receiving devices is constructed to test the above methods.The experiment results show that the proposed method can effectively improve the SNR with reduced bit error rate.

关 键 词：MU-MIMO波束赋形 Wi-Fi WAVE 块对角化预编码 奇异值分解 最小均方误差检测 

分 类 号：U285.2[交通运输工程—交通信息工程及控制] U270.382[交通运输工程—道路与铁道工程]