Error-Entropy based Channel State Estimation of Spatially Correlated MIMO-OFDM

被引：0

作者：

Tuan, H. D. ^{[1
]}

Kha, H. H. ^{[1
]}

Nguyen, H. H. ^{[2
]}

机构：

[1] Univ New S Wales, Sydney, NSW, Australia

[2] Univ Saskatchewan, Saskatoon, SK, Canada

来源：

2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2011年

关键词：

Error-entropy; training sequences; spatial correlation; MIMO; OFDM; convex programming; DESIGN;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

This paper deals with optimized training sequences to estimate multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) channel states in the presence of spatial fading correlations. The optimization criterion is the entropy minimization of the error between the high multidimensional and correlated channel state and its estimator. The globally optimized training sequences are exactly solved by a semi-definite programming (SDP) of tractable computational complexity O((M-t(M-t + 1)/2)(2.5)), where M-t is the transmit antenna number. With new tight two-sided bounds for the objective function, the optimal value of the generic SDP can be approximately solved by the standard water-filling algorithm. Intensive simulation results are provided to illustrate the performance of our methods.

引用

页码：3468 / 3471

页数：4

共 14 条

[1]

[Anonymous], 2004, P IEEE INT S COMPUTE

[2]

Biglieri E., 2007, MIMO Wireless Communications

[3] Optimal Training Sequence for MIMO Wireless Systems in Colored Environments [J].