Toward real-time adaptive low-rank LMMSE channel estimation of MIMO-OFDM systems

被引：16

作者：

Ozdemir, Mehmet K.

Arslan, Huseyin

Arvas, Ercument

机构：

[1] Syracuse Univ, Dept EECS, Syracuse, NY 13244 USA

[2] Univ S Florida, Tampa, FL 33620 USA

来源：

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS | 2006年 / 5卷 / 10期

关键词：

adaptive filtering; channel estimation; LMMSE; low-rank; MIMO; OFDM; subspace tracking; SVD;

D O I：

10.1109/TWC.2006.04713

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

For the practical LMMSE channel estimation of MIMO-OFDM systems, the high computational complexity of LMMSE needs to be eliminated. In this study, we develop a low-complexity, generalized low-rank LMMSE channel estimator for MIMO-OFDM systems using comb-type pilots. The estimator utilizes the relationship between the subspaces of the frequency domain channels at the pilots and non-pilots subcarriers. By then using subspace tracking, it is observed that practical LMMSE channel estimation of MIMO-OFDM systems can be feasible.

引用

页码：2675 / 2678

页数：4

共 8 条

[1] Channel estimation techniques based on pilot arrangement in OFDM systems [J].