Title :
A Novel Approximation of NDA ML Estimation for UWB Channels
Author :
Chen, Yunfei ; Beaulieu, Norman C.
Author_Institution :
Sch. of Eng., Univ. of Warwick, Coventry, UK
fDate :
10/1/2010 12:00:00 AM
Abstract :
Novel non-data-aided near-maximum-likelihood estimators for the delays and the attenuations in an ultra-wide bandwidth channel are proposed by using an approximation to the maximum likelihood equation. Numerical results show that these new estimators outperform previous approximate non-data-aided maximum likelihood channel estimators reported in the literature. Moreover, in some cases, the performances of the new non-data-aided estimators approach those of the data-aided estimators, enabling a reduction in the overhead expense of pilot symbols.
Keywords :
bandwidth allocation; maximum likelihood estimation; ultra wideband communication; wireless channels; NDA ML estimation; UWB channels; maximum likelihood equation; nondata-aided estimators; nondata-aided near-maximum-likelihood estimators; ultra-wide bandwidth channel; Approximation methods; Channel estimation; Delay; Fading; Maximum likelihood estimation; Multipath channels; Signal to noise ratio; Estimation; maximum likelihood; non-data-aided; ultra-wide bandwidth;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2010.082710.080097