On the Robustness of MIMO LMMSE Channel Estimation

被引:10
作者
Assalini, Antonio [1 ]
Dall'Anese, Emiliano [1 ]
Pupolin, Silvano [1 ]
机构
[1] Univ Padua, Dept Informat Engn DEI, I-35131 Padua, Italy
关键词
Channel estimation; MIMO systems; least mean square methods; correlation matrix; performance analysis; PERFORMANCE; SYSTEM;
D O I
10.1109/TWC.2010.091510.100026
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
The robustness of the linear minimum mean square error (LMMSE) channel estimator is studied with respect to the reliability of the estimated channel correlation matrix used for its implementation. The analysis is of interest in practical applications of multiple-input multiple-output (MIMO) systems, where a perfect estimate of the channel correlation matrix is not available. The channel estimation mean square error (MSE) is analytically analyzed assuming a general structure for the estimated channel correlation matrix used to implement the LMMSE channel estimator. The obtained results are successively detailed to the case of channel correlation matrices derived by sample correlation estimation methods. It is observed that the use of a coarse estimate of the channel correlation matrix can lead to a severe degradation on the LMMSE channel estimator performance, whereas the simpler least-square (LS) channel estimator may provide comparatively better results. Nevertheless, it is shown that a robust approach, although suboptimal, relies on implementing the LMMSE channel estimator by assuming transmissions over uncorrelated channels, since, with such an assumption, the resulting estimation MSE is certainly smaller than for the LS channel estimator.
引用
收藏
页码:3313 / 3319
页数:7
相关论文
共 21 条
[1]   Doppler Spectrum from Moving Scatterers in a Random Environment [J].
Andersen, Jorgen Bach ;
Nielsen, Jesper Odum ;
Pedersen, Gert Frolund ;
Bauch, Gerhard ;
Dietl, Guido .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2009, 8 (06) :3270-3277
[2]  
[Anonymous], 2008, MATRIX HDB STAT
[3]  
[Anonymous], 2003, Introduction to Nessus
[4]  
ASSALINI A, 2009, P IEEE INT C COMM IC
[5]   Covariance matrix estimation with heterogeneous samples [J].
Besson, Olivier ;
Bidon, Stephanie ;
Tourneret, Jearl-Yves .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (03) :909-920
[6]   Training-based MIMO channel estimation: A study of estimator tradeoffs and optimal training signals [J].
Biguesh, M ;
Gershman, AB .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (03) :884-893
[7]  
CHEN Y, 2009, IEEE T SIGN PROC AUG
[8]  
Czink N, 2005, 2005 IEEE 6TH WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, P595
[9]   How much training is needed in multiple-antenna wireless links? [J].
Hassibi, B ;
Hochwald, BM .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2003, 49 (04) :951-963
[10]  
Herdin M., 2004, THESIS TU WIEN