摘要
为提高多用户多输入多输出(MIMO)系统中多个用户的预编码增益,提出了一种利用广义特征值分解(GEVD)辅助的最小均方误差(MMSE)干扰抑制算法,抑制干扰和噪声的同时考虑了用户的预编码增益、最大化发射端的信漏噪比和接收端的信干噪比,并给出有信道误差情况下修正的预编码设计方法.理论分析和仿真结果表明,新算法比广义的MMSE信道反转算法具有更好的系统性能.
A general eigenvalues decomposition(GEVD) aided interference suppression algorithm is proposed based on the minimum mean-squared error(MMSE) criterion to improve the precoding gain of multi-user in multi-user multi-input multi-output(MIMO) system.It suppresses the interference and noise,meanwhile,the users pre-coding gain is taken into account at the same time.The algorithm can maximize the signal-to-leakage-and-noise-ratio at the transmitter and maximize the signal-to-interference-and-noise-ratio of each user's receiver.And how to modify the design in order to account for channel estimation errors is also analyzed.Simulation shows that the algorithm can achieve a better system performance than the general MMSE invension algorithm.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2011年第1期85-89,共5页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金项目(60702051
60910160)
国家科技重大专项项目(2009ZX03003-001-01
2009ZX03002-003-04)
新世纪优秀人才支持计划项目(NCET-08-0735)
教育部博士点基金项目(2007001302)
关键词
共信道干扰
多用户多输入多输出
广义特征值分解
信号泄漏噪声比
co-channel interference
multi-user multi-input multi-output
general eigenvalues decomposition
signal to leakage and noise ratio