Title :
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
fDate :
Nov. 27 2006-Dec. 1 2006
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;
Conference_Titel :
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
1-4244-0356-1
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2006.715
