WLC18-1: A Novel Prior Knowledge Based ML Channel Estimator for Coherent IR-UWB Systems

Author

Zhou, Lei ; Zhou, Shidong ; Yao, Yan

Author_Institution

EE Dept., Tsinghua Univ., Beijing

fYear

2006

fDate

Nov. 27 2006-Dec. 1 2006

Firstpage

1

Lastpage

5

Abstract

Channel estimation and synchronization are crucial problems in coherent ultra wideband (UWB) systems. We develop a new channel estimation scheme that can further improve the estimation performance compared with the traditional maximum-likelihood estimator by using the second order statistic of the fading channel. The new scheme is analyzed theoretically and the performance improvement is evaluated by a computer simulation using IEEE 802.15.3a ultra-wideband channel models. Theoretical analysis and simulation results show that the new scheme improves the estimation performance of channel gains significantly at high noise power regime.

Keywords

channel estimation; fading channels; maximum likelihood estimation; ultra wideband communication; IEEE 802.15.3a ultra-wideband channel models; ML channel estimator; coherent IR-UWB systems; coherent ultra wideband systems; fading channel; maximum-likelihood estimator; second order statistics; Analytical models; Channel estimation; Computational modeling; Computer simulation; Fading; Maximum likelihood estimation; Performance analysis; Performance gain; Statistics; Ultra wideband technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE

Conference_Location

San Francisco, CA

ISSN

1930-529X

Print_ISBN

1-4244-0356-1

Electronic_ISBN

1930-529X

Type

conf

DOI

10.1109/GLOCOM.2006.715

Filename

4151345