Iterative Channel Estimation based on Linear Regression for a MIMO MC-CDMA system

Author

Saux, B.L. ; Hélard, Maryline ; Boher, Laurent

Author_Institution

France Telecom R&D Div., Cesson-Sevigne

fYear

2006

fDate

28-31 Aug. 2006

Firstpage

277

Lastpage

281

Abstract

Multiple-input multiple-output MC-CDMA systems receive a great deal of attention due to their great potential in achieving high data rates in wireless communications. Nevertheless, performance of MIMO MC-CDMA systems can severely degrade due to inaccurate channel estimation especially over frequency-selective fast-varying channels. In this paper, we address a MIMO MC-CDMA coherent transmission with a pilot aided turbo channel estimation improved by addition of a linear regression algorithm included in an iterative receiver. The efficiency of the proposed channel estimation is demonstrated over fast time varying channels

Keywords

MIMO communication; channel estimation; code division multiple access; iterative decoding; regression analysis; time-varying channels; turbo codes; wireless channels; MIMO MC-CDMA system; coherent transmission; frequency-selective fast-time varying channel; iterative receiver; linear regression algorithm; multicarrier code division multiple access; multiple-input multiple-output system; pilot aided turbo channel estimation; wireless communication; Bandwidth; Channel estimation; Downlink; Frequency estimation; Ice; Iterative algorithms; Linear regression; MIMO; Multicarrier code division multiple access; OFDM;

fLanguage

English

Publisher

ieee

Conference_Titel

Spread Spectrum Techniques and Applications, 2006 IEEE Ninth International Symposium on

Conference_Location

Manaus-Amazon

Print_ISBN

0-7803-9779-7

Electronic_ISBN

0-7803-9780-0

Type

conf

DOI

10.1109/ISSSTA.2006.311778

Filename

4100567