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作 者:唐容 袁连海[2] 景小荣[1] TANG Rong;YUAN Lianhai;JING Xiaorong(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Department of Electronic Information and Computer Engineering,The Engineering and Technical College of Chengdu University of Technology,Leshan,Sichuan 614000,China)
机构地区:[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]成都理工大学工程技术学院电子信息与计算机工程系,四川乐山614000
出 处:《信号处理》2022年第5期1056-1064,共9页Journal of Signal Processing
基 金:国家自然科学基金(61701062);重庆市基础与前沿研究计划项目(cstc2019jcyj-msxmX0079)。
摘 要:受硬件成本制约,大规模多输入多输出(massive Multiple Input Multiple Output,mMIMO)基站通常配置低精度模数转换器(Analog-to-Digital Converter,ADC)。低精度ADC下,如果多用户mMIMO系统采用最小均方误差(Minimum Mean Square Error,MMSE)检测,将导致过高复杂度。为此,本文基于三对角迭代法(Tridiagonal Iterative Method,TDIM),结合分块矩阵求逆的初始值确定,提出一种低复杂度的MMSE软输出信号检测算法。数值仿真表明:基于TDIM的软输出信号检测算法经4次迭代即可达到收敛,同时,数值结果验证了ADC量化比特为4时,该算法可取得接近全精度ADC的性能,为低精度ADC下mMIMO系统的上行链路信号检测实现提供了切实可行的方案。Due to the limitation of hardware cost,massive multiple input multiple output(mMIMO)base stations are usually equipped with low-resolution analog-to-digital converter(ADC). The complexity of Minimum Mean Square Error(MMSE)detection is too high to realize in multiuser mMIMO systems with low-resolution ADC. Therefore,to reduce the complexity of the soft output signal detection and achieve a near-optimal performance,in this paper,a low complexity MMSE soft output detection algorithm is proposed which based on tridiagonal iterative method(TDIM)and the blockmatrix-inversion based initial solution. The numerical results verify that the TDIM-based soft output signal detection algorithm takes 4 iterations to converge and approximates the performance of Cholesky algorithm when the MMSE filtering matrix is diagonally dominant. The performance of mMIMO system with a 4-bits-ADC is close to the full resolution ADC as well,which provides a feasible solution for the uplink soft output signal detection of mMIMO systems with low-resolution ADC.
关 键 词:大规模多输入多输出系统 低精度模数转换器 三对角迭代法 软输出信号检测
分 类 号:TN929.5[电子电信—通信与信息系统]
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