MIMO多中继系统中基于不完全信道状态信息的预编码算法研究

发布时间：2019-01-26 17:31

【摘要】：针对配置多个中继节点的多输入多输出(Multiple-input Multiple-Output,MIMO)系统,提出一种不完全信道状态信息(Imperfect channel state information,CSI)下基于最小均方误差(Minimum Mean-Squared Error,MMSE)准则的预编码设计方案,该方案综合考虑各个节点天线之间的相关性及信道估计误差。由于各个中继端预编码矩阵之间可视为相互独立,故将约束优化问题转化为若干半正定规划问题,继而通过内点法或CVX工具箱求解预编码矩阵,然后采用求导法推导出接收端处理矩阵。最后利用迭代算法交替迭代来联合优化预编码矩阵和接收端处理矩阵,直到算法收敛。仿真结果表明,与未能综合考虑各个节点的预编码算法相比,本文提出的算法能明显改善系统BER性能。
[Abstract]:For multiple input and multiple output (Multiple-input Multiple-Output,MIMO) systems with multiple relay nodes, a minimum mean square error (Minimum Mean-Squared Error,) based on incomplete channel state information (Imperfect channel state information,CSI) is proposed. The precoding scheme of the MMSE) criterion considers the correlation and channel estimation error of each node antenna synthetically. Because the precoding matrices at each relay end can be regarded as independent of each other, the constrained optimization problem is transformed into some positive semidefinite programming problems, and then the precoding matrix is solved by the interior point method or CVX toolbox. Then the receiver processing matrix is derived by the derivation method. Finally, the iterative algorithm is used to optimize the precoding matrix and the receiver processing matrix, until the algorithm converges. The simulation results show that the proposed algorithm can significantly improve the BER performance of the system compared with the precoding algorithm which fails to consider each node comprehensively.
【作者单位】：江苏省物联网与控制技术重点实验室(南京航空航天大学);南京航空航天大学电子信息工程学院;
【基金】：中央高校基本科研业务费专项资金资助(NS2016044) 江苏省博士后基金资助(1601017C)
【分类号】：TN919.3

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