基于符号检测的MMSE干扰对齐算法

Symbol detection aided minimum mean square error interference alignment

干扰对齐(IA)是一种有效的干扰管理机制,通过预编码技术使干扰在接收端重叠在一起,以彻底地消除干扰信号对所期望接收信号的影响。这项技术能够在无线干扰网络中获得很大的自由度。在干扰对齐中,一个复数符号在相同的原理下的互异网络上通过预编码器和合并器进行迭代计算而被检测到,例如在最小均方误差(MMSE)算法下。本文在传统的MMSE算法的基础上,提出基于符号检测的最小均方误差(SDA-MMSE)干扰对齐的迭代算法。计算机仿真证明所提出的符号检测算法比传统的MMSE算法具有更好的性能。

Interference alignment （IA） is an effective management mechanism, through which the precoding technology makes the overlap interference at the receiver, to completely eliminate the interference signal of the desired signal reception. This technology enables to gain a lot of freedom in wireless interference networks. In interference alignment, a complex data symbol is detected via iterative calculation on precoder and combiner in reciprocal network under a same principle, such as minimum mean square error （MMSE）. Based on the traditional MMSE algorithm, a symbol detection aided minimum mean square error （SDA-MMSE） interference iterative algorithm is proposed. Computer simulation results show that the proposed detection algorithm exhibits better performance than that of conventional MMSE IA algorithm.