CAJ | 학술논문

为了改善存在信道误差、空时相关条件下多用户多入多出(MIMO)系统的性能，给出了一种基于信漏噪声比(SLNR)的鲁棒预编码算法。通过推导空时相关信道环境下信道向量的条件均值和协方差，分别建立了发送端信道状态信息(CSIT)和接收端信道状态信息(CSIR)模型。在此模型基础上，推导了收发两端信道状态信息(CSI)均不理想情况下的鲁棒 SLNR预编码以及相应的接收滤波矩阵。仿真结果表明，该算法对空间相关性、时间相关性以及信道误差均具备一定的鲁棒性。
위료개선존재신도오차、공시상관조건하다용호다입다출(MIMO)계통적성능，급출료일충기우신루조성비(SLNR)적로봉예편마산법。통과추도공시상관신도배경하신도향량적조건균치화협방차，분별건립료발송단신도상태신식(CSIT)화접수단신도상태신식(CSIR)모형。재차모형기출상，추도료수발량단신도상태신식(CSI)균불이상정황하적로봉 SLNR예편마이급상응적접수려파구진。방진결과표명，해산법대공간상관성、시간상관성이급신도오차균구비일정적로봉성。
A robust precoding algorithm based on Signal to Leakage Noise Ratio(SLNR) is put forward in order to improve the performance of multiuser Multiple Input Multiple Output(MIMO) system in spatial and temporal correlated channel environment with channel error. Conditional mean and covariance of channel vector is derived considering spatial correlation and temporal, then the Channel State Information at the Transmitter(CSIT) and the Channel State Information at the Receiver(CSIR) are modeled. Based on these models, a robust SLNR precoding algorithm is derived when Channel State Information(CSI) at both ends is imperfect and not equivalent, and the corresponding receiving filters are also discussed. Simulation results show that the proposed robust SLNR precoding algorithm possesses robustness against channel error, spatial correlation and temporal correlation.