Title :
Iterative space-time soft detection in time-varying multiaccess wireless channels
Author :
Miguez, Jouquin ; Castedo, Luis
Author_Institution :
Departamento de Electronica e Sistemas, Univ. da Coruna, Spain
fDate :
6/23/1905 12:00:00 AM
Abstract :
This paper introduces an iterative space-time soft estimator (ISSE) that jointly performs linear channel estimation and soft data detection in time-varying multiple-input multiple-output (MIMO) channels, both according to the minimum mean squared error (MMSE) criterion. We introduce a scalar approximation of the channel autocovariance function that relies on the statistical homogeneity of the multipath scattering and allows to derive a globally-convergent burst-adaptive algorithm to estimate and track the channel statistics
Keywords :
MIMO systems; adaptive estimation; adaptive signal detection; convergence of numerical methods; covariance analysis; iterative methods; least mean squares methods; multipath channels; multiuser channels; parameter estimation; radio links; time-varying channels; tracking; MMSE criterion; block-adaptive estimation; channel autocovariance function; channel statistics estimation; channel statistics tracking; globally-convergent burst-adaptive algorithm; iterative space-time soft detection; iterative space-time soft estimator; linear channel estimation; minimum mean squared error; multiaccess wireless communication system; multipath scattering; multiple-input multiple-output channels; scalar approximation; soft data detection; statistical homogeneity; time-varying MIMO channels; time-varying multiaccess wireless channels; wireless link; Antennas and propagation; Channel estimation; Computer simulation; Least squares approximation; MIMO; Receiving antennas; Scattering; Signal processing algorithms; Statistics; Transmitting antennas;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955235
