Statistical transmit processing for enhanced MIMO channel estimation in presence of correlation

Author

Kiessling, Mario ; Speidel, Joachim

Author_Institution

Inst. of Telecommun., Stuttgart Univ., Germany

Volume

5

fYear

2003

fDate

1-5 Dec. 2003

Firstpage

2411

Abstract

A novel pilot aided channel estimation scheme is considered for wireless MIMO systems in presence of fading correlation. Assuming a linear minimum mean squared error based channel estimator, it is demonstrated that adequate statistical shaping of the training sequence depending on the correlation properties of the channel can minimize the estimation of the mean squared error. The new scheme is a general concept that can readily be applied to smart antenna multiple-input single-output systems. With long-term update intervals of the correlation properties of the channel, the complexity of the concept is moderate and allows for an implementation in FDD systems. Simulation results for various MIMO transmission systems including realistic channel estimation demonstrate the effectiveness of the proposed scheme with a significant SNR gain.

Keywords

MIMO systems; Monte Carlo methods; adaptive antenna arrays; cellular radio; channel estimation; computational complexity; error statistics; fading channels; mean square error methods; optimisation; BER; Monte Carlo method; bit error rate; computational complexity; enhanced MIMO channel estimation; fading correlation; linear minimum mean squared error; multiple-input single-output; optimization; smart antenna; statistical transmit processing; wireless MIMO system; Bit error rate; Channel estimation; Covariance matrix; Data communication; Fading; Limiting; MIMO; Matrix decomposition; Signal processing; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2003. GLOBECOM '03. IEEE

Print_ISBN

0-7803-7974-8

Type

conf

DOI

10.1109/GLOCOM.2003.1258669

Filename

1258669