大规模MIMO⁃OFDM系统中低复杂度维纳滤波信道估计算法

doi:10.13229/j.cnki.jdxbgxb20200688

摘要/Abstract

摘要：

针对大规模多输入多输出正交频分复用系统复杂度高的问题，提出一种低复杂度维纳滤波信道估计算法。首先将大维度原位替换方法运用于最小均方误差算法，有效降低了多天线的运算复杂度，通过将二维维纳滤波拆分成时域和频域两次一维维纳滤波来减少运算量；同时，为了降低由两次维纳滤波噪声方差不同产生的估计误差，引入噪声方差中位值进行修正。仿真结果表明，与多种传统算法相比，本文算法运算量至少降低了20%，误码率至少降低了9%。

关键词: 通信技术, 大规模MIMO?OFDM, 信道估计, 大规模原位替换算法, 维纳滤波

Abstract:

To overcome the high complexity of large-scale multiple-input multiple-output orthogonal frequency division multiplexing systems， a low-complexity Wiener filter channel estimation algorithm is proposed. Firstly， the large-dimensional in-situ replacement method is applied to the minimum mean square error algorithm. It can effectively reduce the computational complexity of multiple antennas. Then， to reduce the complexity， the two-dimensional Wiener filter is splited into two one-dimensional Wiener filters in the time domain and the frequency domain. At the same time， in order to reduce the estimation error caused by the difference of the two Wiener filter noise variances， the median value of the noise variance is introduced for correction. The simulation results show that compared with many traditional algorithms， the computational complexity of the proposed algorithm is reduced by at least 20%， and the bit error rate is reduced by at least 9%.

Key words: communication technology, massive multiple-input multiple-output orthogonal frequency division multiplexing system, channel estimation, large-dimensional in-situ replacement method, Wiener filter

中图分类号:

TN911.23

李建坡,李美霖,杨涛,薛鹏. 大规模MIMO⁃OFDM系统中低复杂度维纳滤波信道估计算法[J]. 吉林大学学报(工学版), 2022, 52(1): 211-218.

Jian-po LI,Mei-lin LI,Tao YANG,Peng XUE. Low-complexity Wiener filter channel estimation algorithm in massive MIMO-OFDM system[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(1): 211-218.

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