Optimization of Training Sequences for Spatially Correlated MIMO-OFDM

被引：5
|
作者：
Tuan, H. D. [1 ]
Luong, V-J. [1 ]
Nguyen, H. H. [2 ]
机构：
[1] Univ New S Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
[2] Univ Saskatchewan, Dept Elect & Comp Engn, Saskatoon, SK, Canada
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS | 2009年
关键词：
MIMO-OFDM; MMSE channel estimation; training sequence; spatially correlated fading; CHANNELS; SYSTEMS; DESIGN;
D O I：
10.1109/ICASSP.2009.4960175
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
The optimal training sequence for channel estimation in spatially correlated multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems has not been found for an arbitrary signal-to-noise ratio (SNR). Only one class of training sequences was proposed in the literature in which the power allocation is given only for the extreme conditions of low and high SNR. Provided in this paper are (i) a necessary and sufficient condition for the optimal training sequence together with a convex programming to find the solution, and (ii) efficient procedures to find the optimal training sequence. Simulation results confirms the superiority of the proposed design over the existing one.
引用
收藏
页码：2681 / +
页数：2
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