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

Abstract

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

CLC Number:

TN911.23

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.

Figures/Tables 6

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Low-complexity Wiener filter channel estimation algorithm in massive MIMO-OFDM system

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