青海民族大学物理与电子信息工程学院
纸质出版:2019
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[1]贾国庆,王路.基于符号检测辅助的干扰对齐算法[J].新疆大学学报(自然科学版),2019,36(03):335-344.
[1]贾国庆,王路.基于符号检测辅助的干扰对齐算法[J].新疆大学学报(自然科学版),2019,36(03):335-344. DOI: 10.13568/j.cnki.651094.2019.03.012.
DOI:10.13568/j.cnki.651094.2019.03.012.
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.
As a novel interference processing method
interference alignment(IA) makes interference signals overlap in a certain dimension at the receiving end through precoding technology
so as to completely eliminate the influence of interference on the desired signal and improve the spatial utilization degree of freedom of the channel.In interference alignment
complex symbols are detected by iterative computation of precoder and combiner on heterogeneous networks with the same principle. In this paper
based on the traditional least square method(LS)and maximum signal to interference plus noise ratio(MAX-SINR) algorithm
the symbol detection aided least squares(SDA-LS) and symbol detection aided maximum signal to interference plus noise ratio(SDA-MAX-SINR)interference iterative algorithm is proposed. And according to the former performance is poor
low complexity;the latter is characterized by high complexity and excellent performance. A new interference alignment iterative algorithm based on symbol detection aided least squares combined with maximum signal to interference plus noise ratio(SDA-LS+MAX-SINR) is proposed. Through computer simulation
the symbol detection assistant algorithm proposed in this paper has better performance than the traditional algorithm.
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