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
收藏
页码：2675 / 2678
页数：4
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