基于符号检测辅助的干扰对齐算法Interference Alignment Algorithm Based on Symbol Detection Assistance
贾国庆,王路
摘要(Abstract):
干扰对齐(interference alignment,IA)是一种有效的干扰处理方法.通过预编码技术在接收端的特定维度上重叠干扰信号,进而完全消除干扰信号对所需信号的影响,而且能够提高信道的空间利用自由度.在干扰对齐中,通过在相同原理的相互不同网络上的预编码器和组合器的迭代计算来检测复杂符号.本文在传统的最小二乘法(least squares,LS)、最大信干噪比(maximum signal to interference plus noise ratio,MAX-SINR)算法的基础上,提出了基于符号检测辅助的最小二乘法(symbol detection aided least squares,SDA-LS)、符号检测辅助的最大信干噪比(symbol detection aided maximum signal to interference plus noise ratio,SDA-MAX-SINR)干扰对齐迭代算法.并且根据前者性能较差、复杂度低;后者复杂度高、性能优的特点,提出了一种基于符号检测辅助的最小二乘法和最大信干噪比相结合(symbol detection aided least squares combined with maximum signal to interference and noise ratio,SDA-LS+MAX-SINR)的干扰对齐迭代算法.通过计算机仿真,文中所提出的符号检测辅助算法比传统算法有更好的性能.
关键词(KeyWords): 干扰对齐;最小二乘法;最大信干噪比;符号检测辅助的最小二乘法;符号检测辅助的最大信干噪比
基金项目(Foundation): 青海民族大学校级理工自然科学重点项目(2019XJZ09)
作者(Author): 贾国庆,王路
DOI: 10.13568/j.cnki.651094.2019.03.012
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