Research on Pilot-Based Channel Estimation Algorithms

Mengyang Liu, Hongjuan Wang, Yeli Li, Pei Li
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引用次数: 6

Abstract

The numerous advantages of massive MIMO technology make it one of the key technologies of 4G communication. However, with the increase of antennas, the channel matrix dimension is getting higher and higher, and the channel situation is more complicated, which puts forward higher requirements for channel estimation algorithm. In this paper, we have studied two pilot-based channel estimation algorithms: LS and MMES algorithm. We have applied these two channel estimation algorithms to OFDM systems and analyzed their results respectively. Our simulation results show that the performance of MMSE channel estimation is better than LS channel estimation, but its computational complexity is higher than LS channel estimation. So the LS channel estimation algorithm is always used under general industrial requirements.
基于导频的信道估计算法研究
大规模MIMO技术的诸多优点使其成为4G通信的关键技术之一。然而,随着天线数量的增加,信道矩阵维数越来越高,信道情况也越来越复杂,这对信道估计算法提出了更高的要求。本文研究了两种基于导频的信道估计算法:LS算法和MMES算法。将这两种信道估计算法分别应用于OFDM系统,并对其结果进行了分析。仿真结果表明,MMSE信道估计的性能优于LS信道估计,但其计算复杂度高于LS信道估计。因此,在一般工业要求下,通常采用LS信道估计算法。
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