基于叠加训练序列的MIMO信道系数估计研究

Study on MIMO Channel Coefficient Estimation Based on the Superimposed Training Sequence

研究移动通信系统,在高数据率MIMO系统中,针对信道系数的准确估计是实现MIMO系统接收端准确检测、解码等的重要前提。根据一种叠加训练序列的MIMO信道估计模型,为提高信道精度,提出最小二乘(LS)方法和最小均方误差方法(MMSE)对信道系数进行估计,并进行了数值分析。数值仿真结果表明,在相同的条件下,对信道系数进行估计,最小均方误差方法(MMSE)较优于最小二乘(LS)方法。在高信噪比、有限发送符号数和较少发射天线数的情况下,两种方法都有精确的估计,具有实用价值。

In the high data rate MIMO systems,estimating the channel coefficient accurately is an important prerequisite for MIMO system receivers in detecting accurately,decoding and so on.In this paper,a MIMO channel estimation model based on the superimposed training sequence method is applied.Through exploiting Least Square（LS） method and Minimum Mean Square Error（MMSE） method,the channel coefficient estimation formulas are derived.The numerical simulation results show that channel coefficient estimation has higher precision by using MMSE than LS at the same condition.However,these two methods also have good performance under the situation of the high signal noise rate,the finite length of training sequence and few numbers of antennas.