非理想信道状态信息下权值可调干扰对齐算法

针对多输入多输出（MIMO）系统获取信道信息过程中存在估计误差、反馈延迟等问题，为了提高低信噪比（SNR）时的系统性能，提出了一种基于权值可调的稳健干扰对齐算法。首先，在理想信道的基础上考虑信道误差的影响重新构建系统模型；然后，采用矩阵投影技术对接收端的信号空间进行分解，分成期望信号子空间与干扰信号子空间两部分；其次，考虑期望信号和干扰信号之间的相互影响，把两者泄漏到相应的子空间的功率加权和作为目标函数运用迭代思想计算出预编码和干扰抑制矩阵；最后，利用计算出的预编码和干扰抑制矩阵推导出存在信道误差的和速率表达式。仿真结果表明与稳健最小干扰泄漏算法相比，在信噪比为10 dB、信道误差方差取值0.05时，系统的频谱效率提升了25%，能量效率提升了38%，因此所提算法在低信噪比时可以有效地提升系统性能。

Weight adjustable interference alignment algorithm with imperfect channel state information

For the problem of estimation error and feedback delay in the process of acquiring channel information in Multiple-Input Multiple-Output (MIMO) systems, a robust interference alignment algorithm based on weight adjustment was proposed to improve the system performance at low Signal-to-Noise Ratio (SNR). Firstly, the system model was reconstructed by considering the influence of channel error on the basis of the ideal channel; secondly, the signal space at the receiving terminal was decomposed by matrix projection and divided into two parts, including desired signal subspace and interference signal subspace; thirdly, considering the interaction between the desired signal and the interference signal, the weighted sum of the power leaked into the corresponding subspaces was used as the objective function, and the iterative idea was used to calculate the precoding and interference suppression matrix. Finally, the calculated pre-coding and interference suppression matrix was used to derive the sum-rate expression of the channel error. Simulation results show that compared with the robust minimum interference leakage algorithm, when the SNR is 10 dB and the channel error variance value is 0.05, the spectrum efficiency of the system is increased by 25% and the energy efficiency is increased by 38%. Therefore, the proposed algorithm can effectively improve system performance at low SNR.