针对未编码的多输入多输出系统,将基于训练序列的最小均方误差(MMSE)信道估计算法与最优线性无偏估计结构(BLUE)相结合对已估计的信道参数进行估计。仿真结果表明,使用线性合并的MMSE算法比传统的MMSE算法具有较小的参数估计误差,比使用线性合并的LS算法性能更好。
The performance of multiple- input multiple- output (MIMO) systems based on training sequences is described. The mimnimum mean - square - error ( MMSE ) approach and the best linear unbiased estimation (BLUE) scheme are used to estimate the channel parameters. The simulation results show that the MMSE algorithm can effectively reduce the estimation error compared with traditional ones by adopting the best linear unbiased estimation.