A Low-Complexity LS Turbo Channel Estimation Technique for MU-MIMO Systems

作者：Takano Yasuhiro^*; Su Hsuan Jung

来源：IEEE Signal Processing Letters, 2018, 25(5): 710-714.

DOI：10.1109/LSP.2018.2820811

• Maximum likelihood (ML) estimation
• singular value decomposition (SVD)
• turbo channel estimation

Turbo channel estimation algorithms can improve estimation accuracy in multiuser (MU) multi-input multi-output (MIMO) systems. However, the conventional least squares (LS) turbo channel estimation technique based on the maximum like-lihood approach is difficult to be performed in large MU-MIMO systems since it requires a cubic complexity order O(kappa(NTNR3)-N-3-N-3) for a system constant. and numbers of N-T-transmit and N-R-receive antennas. This is because the conventional technique computes inversion of a covariance matrix whose size is proportional to kappa NTNR. We propose a new low-complexity LS estimation technique that requires a complexity order O(kappa N-3(T)3) only by utilizing algebraic property on the covariance matrix. Simulation results shown in this letter verify that the proposed technique significantly reduces processing time without sacrificing the estimation performance.

• 出版日期2018-5