非理想信道状态下两跳中继系统收发信机鲁棒联合优化设计

发布时间：2018-06-20 01:46

本文选题：多输入多输出(MIMO) + 中继　；参考：《高技术通讯》2014年11期

【摘要】：针对非理想信道状态信息下两跳中继多输入多输出(MIMO)系统,按照空间相关性进行了非理想MIMO信道建模,在此基础上提出了一种新的多节点联合优化设计该系统收发信机的算法。该算法基于估计信号的最小均方误差(MMSE)准则,把源节点预编码、中继节点预编码以及目的节点均衡算法结合起来进行三节点联合优化,提高了通信系统的可靠性。收敛性和复杂度的仿真分析表明,该三节点联合优化算法与传统的中继和目的节点两节点迭代联合优化算法相比较,误码率有1dB以上的增益,复杂度大致相当;如果该算法退化为两节点的话,虽然在性能上与文献给出的方法大致相当,但是复杂度可以降低30%左右。该算法复杂度的降低将会以占用存储资源为代价,因为在计算过程中很多矩阵会被重用,中间变量需要存储下来,但从综合衡量性能与复杂度的角度看,该方法具有一定程度的优势。
[Abstract]:For a two-hop relay multiple-input multiple-output (MIMOO) system with non-ideal channel state information, the non-ideal MIMO channel is modeled according to spatial correlation. On this basis, a new multi-node joint optimization algorithm for designing the transceiver of the system is proposed. Based on the minimum mean square error (MMSE) criterion of the estimated signal, this algorithm combines the source node precoding, relay node precoding and destination node equalization algorithm to achieve the joint optimization of three nodes, which improves the reliability of the communication system. The simulation results of convergence and complexity show that compared with the traditional iterative optimization algorithm for relay and destination nodes, the BER has a gain of more than 1 dB, and the complexity is approximately the same. If the algorithm is reduced to two nodes, the complexity can be reduced by about 30%, although the performance of the algorithm is approximately the same as that given in the literature. The complexity of the algorithm will be reduced at the cost of taking up storage resources, because many matrices will be reused in the calculation process, and the intermediate variables will need to be stored, but from the perspective of performance and complexity, This method has some advantages.
【作者单位】：北京邮电大学泛网无线通信教育部重点实验室;
【基金】：973计划(2009CB320401) 国家自然科学基金(61171100) 新一代宽带无线移动通信网科技重大专项(2010ZX03003-001,2012ZX03004-002)资助项目
【分类号】：TN919.3

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