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作 者:林欢 李想 Lin Huan;Li Xiang(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Key Lab of New Generation Broadband Mobile Communication Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
机构地区:[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]重庆邮电大学新一代宽带移动通信重点实验室,重庆400065
出 处:《电子技术应用》2018年第9期121-124,共4页Application of Electronic Technique
基 金:国家科技重大专项基金资助项目(2016ZX03002010-003)
摘 要:近年来MIMO技术在电力线通信(PLC)领域受到广泛的关注,可在不增加带宽的基础上提升系统比特速率和频谱利用率。针对传统迫零预编码算法求逆运算复杂度太高的问题,提出一种基于双边雅克(Two-Sided Jacobi,TSJ)奇异值分解(SVD)的预编码算法,可有效降低计算复杂度。首先构造实对称矩阵,然后通过双边雅克比变换对该矩阵进行对角化,最后引入泰勒级数展开以简化计算过程。仿真结果表明,在不损失计算精度的情况下,所提算法能有效改善系统误码率性能。In recent years,the MIMO technology has been paid extensive attention in the field of power line communication,which can enhance the system bit rate and spectrum efficiency without increasing bandwidth.The complexity of the inverse operation is too high for the traditional zero-forcing algorithm,so a precoding algorithm based on two-sided Jacobi SVD is proposed to reduce the computational complexity.Firstly,the real symmetric matrix is constructed.And then,the matrix is diagonalized by two-sided Jacobi transformation.Finally,Taylor series expansion is introduced to simplify the calculation process.The simulation results show that the algorithm can effectively improve the bit error rate performance without loss of calculation accuracy.
分 类 号:TN915.853[电子电信—通信与信息系统]
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