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GLOBECOM
2006
IEEE

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

12 years 3 months ago
A Novel Prior Knowledge Based ML Channel Estimator for Coherent IR-UWB Systems
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.
Lei Zhou, Shidong Zhou, Yan Yao
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where GLOBECOM
Authors Lei Zhou, Shidong Zhou, Yan Yao
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