基于随机导频序列的信道估计算法

A Channel Estimation Algorithm based on Random Pilot Sequence

针对大规模多输入多输出系统的各小区复用相同导频序列进行信道估计存在严重导频污染的问题,提出了一种改进的信道估计算法用以减轻导频污染。该方法用随机导频序列替代各小区复用的相同导频序列用于信道估计,由于随机导频具有独立不相关的特性,因而用于信道估计时具有使信道状态信息获取更加准确、导频污染很小的优点。对信道估计均方误差的性能进行了仿真,仿真结果表明,改进的算法可以较明显地减轻导频污染对信道估计的影响。

Due to the defects of the severe pilot pollution exist in the massive Multiple-Input Multiple-Output （MIMO） system when the same pilot sequences are reused by all cells for channel estimation, the paper proposes an enhanced algorithm for channel estimation to alleviate the pilot pollution. In this paper, previous same pilot sequences are replaced by the random pilot sequences for the channel estimation which has the advantages of more accurate uplink channel status information and lower pilot pollution due to the fact that the random pilot sequences are independent and unrelated. The simulation results of the mean square error of the channel estimation show that the proposed method can obviously mitigate the pilot pollution when comparing with the method with the same pilot sequences.