Title :
A fast Gaussian maximum-likelihood method for blind multichannel estimation
Author :
de Carvalho, Elisabeth ; Slock, Dirk T M
Author_Institution :
Inst. EURECOM, Sophia Antipolis, France
Abstract :
We propose a blind maximum-likelihood method for FIR multichannel estimation, denoted GML. The GML criterion is derived assuming the input symbols as Gaussian random variables. The performance of GML (computed based on the true symbol distribution) is compared through numerical evaluations to the optimally weighted covariance matching method: both methods are equivalent in a certain asymptotic sense. A fast implementation of the scoring algorithm is proposed to solve GML
Keywords :
FIR filters; Gaussian processes; maximum likelihood estimation; telecommunication channels; FIR multichannel estimation; GML criterion; Gaussian random variables; blind multichannel estimation; fast Gaussian maximum-likelihood method; input symbols; optimally weighted covariance matching method; scoring algorithm; Additive noise; Distributed computing; Finite impulse response filter; Gaussian noise; Maximum likelihood estimation; Random variables; Receiving antennas; Robustness; Statistics; Virtual manufacturing;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 1999. SPAWC '99. 1999 2nd IEEE Workshop on
Conference_Location :
Annapolis, MD
Print_ISBN :
0-7803-5599-7
DOI :
10.1109/SPAWC.1999.783073
