摘要
针对传统相关旋转(CR)算法放大噪声的问题,利用拉格朗日函数最小化接收信号与发射信号间的误差,通过贝叶斯理论和信道统计特性计算不完美信道状态信息,设计了信道状态信息(CSI)完美和不完美两种情况下基于最小均方误差(MMSE)准则的CR预编码算法的系统方案。分析与仿真结果表明,与传统迫零(ZF)准则下的CR算法相比较:信道状态信息完美时设计方案在同一信噪比(SNR)下误码率性能提高2～3 dB;信道状态信息不完美时系统误码性能也有显著的提高。
Concerning the problem that traditional Correlation Rotation（CR） precoding algorithm enlarges noise,Lagrange function was explored to minimize the error between received signal and transmitted signal,statistics and Bayesian theory were explored to calculate the imperfect channel state information,and a scheme of CR precoding algorithm was designed based on Minimum Mean Square Error（MMSE） criterion under perfect Channel State Information（CSI） and imperfect CSI.The simulation results show that under perfect CSI the bit error ratio performance of the designed scheme is improved about 2-3 dB at the same Signal-to-Noise Ratio（SNR）,and under imperfect CSI,the system performance is improved obviously compared to CR precoding based on Zero Forcing（ZF） criterion.
出处
《计算机应用》
CSCD
北大核心
2012年第1期147-149,共3页
journal of Computer Applications
基金
国家自然科学基金资助项目(60872038)
"211工程"创新人才培养计划项目(S-09102)
关键词
相关旋转预编码
拉格朗日函数
贝叶斯理论
最小均方误差
信道状态信息
correlation rotation precoding
Lagrange function
Bayesian theory
Minimum Mean Square Error（MMSE）
Channel State Information（CSI）
