Superimposed training designs for spatially correlated MIMO-OFDM systems

Author

Tran, Nguyen N. ; Tuan, Hoang D. ; Nguyen, Ha H.

Author_Institution

Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia

Volume

9

Issue

3

fYear

2010

fDate

3/1/2010 12:00:00 AM

Firstpage

876

Lastpage

880

Abstract

Only one asymptotic training design for a special case of channel correlation was proposed in the literature for spatially correlated multiple-input multiple-output with orthogonal frequency-division multiplexing (MIMO-OFDM) systems. To fill this gap, this letter applies tractable semi-definite programming (SDP) to obtain the optimal superimposed training signals for the general case of channel correlation. For a more efficient computation, two approximate designs are also proposed. Simulation results demonstrate the efficiency of our approach and its advantage over the asymptotic design.

Keywords

MIMO communication; OFDM modulation; channel correlation; multiple-input multiple-output systems; orthogonal frequency-division multiplexing systems; semidefinite programming; spatially correlated MIMO-OFDM systems; Australia; Channel estimation; Computational modeling; Covariance matrix; Frequency division multiplexing; Frequency estimation; MIMO; OFDM; Receiving antennas; Signal design; MIMO, OFDM, spatial correlation, channel estimation, training signal design, precoder design, superimposed training.;

fLanguage

English

Journal_Title

Wireless Communications, IEEE Transactions on

Publisher

ieee

ISSN

1536-1276

Type

jour

DOI

10.1109/TWC.2010.03.080661

Filename

5427412