基于符号检测辅助的MMSE与LS干扰对齐算法研究

MMSE and LS Interference Alignment Algorithm Based on Symbol Detection

干扰对齐(IA)是一种有效消除干扰的管理机制。为了彻底消除干扰信号对期望信号的影响,通过预编码技术处理使干扰在接收端重叠,使接收端的干扰信号与期望信号有效分开。在传统最小均方误差(Minimum Mean Square Error,MMSE)算法和最小二乘(least square,LS)算法基础上,提出基于符号检测辅助的最小均方误差(Symbol Detection Aided Minimum Mean Square Error,SDA-MMSE)算法和最小二乘(Symbol Detection Aided Least Square,SDA-LS)算法。分别基于传统算法和改进算法进行迭代计算,通过仿真可看出SDA-MMSE算法的MSE较SDA-LS算法的MSE降低约20%。理论分析与仿真结果表明,改进算法较传统算法具有更好的系统性能,且SDA-MMSE算法系统性能最优。

Interference alignment (IA) is an effective management mechanism for eliminating interference. In order to eliminate the influence of interference signal on the desired signal thoroughly, we use precoding technology to process the interference at the receiver so that the interference signal at the receiver can be effectively separated from the desired signal. In this paper, a symbol detection aided minimum mean square error (SDA - MMSE) algorithm and a symbol detection aided least squares (SDA - LS) algorithm based on symbol detection are proposed on the traditional MMSE algorithm and LS algorithm. Firstly, the iterative calculation is carried out based on the traditional algorithm, and then the iterative calculation is carried out by using the improved algorithm. The simulation results show that the MSE of SDA-MMSE algorithm is about 20% lower than that of SDA-LS algorithm. The theoretical analysis and results show that the proposed algorithm has better system performance than the traditional algorithm, and the performance of SDA-MMSE algorithm is the best.