Title :
An "SVD+Viterbi" algorithm for multiuser adaptive blind equalization of mobile radio channels
Author :
Vandaele, Piet ; Moonen, Marc
Author_Institution :
ESAT, Katholieke Univ., Leuven, Heverlee, Belgium
Abstract :
A fully adaptive algorithm for multiuser blind channel equalization is presented. The algorithm is based on an adaptive matrix singular value decomposition (SVD) for a (virtual) channel identification type operation and the Viterbi algorithm for subsequent symbol detection. Unlike other blind multiuser detection schemes that have appeared in the literature, the present algorithm removes multiple access interference (MAI) by exploiting the finite alphabet property of the input signals together with channel coding redundancy. The latter is believed to be a crucial new ingredient for performance in the context of MAI suppression.
Keywords :
Viterbi detection; adaptive equalisers; adaptive signal processing; channel coding; identification; interference suppression; land mobile radio; multi-access systems; radiofrequency interference; singular value decomposition; time-varying channels; MAI suppression; SVD; Viterbi algorithm; adaptive algorithm; adaptive matrix; blind multiuser detection; channel coding redundancy; finite alphabet property; input signals; mobile radio channels; multi-access system; multiple access interference; multiuser adaptive blind equalization; multiuser blind channel equalization; singular value decomposition; symbol detection; time-varying channels; virtual channel identification; Adaptive equalizers; Additive noise; Blind equalizers; Channel coding; Intersymbol interference; Land mobile radio; Multiple access interference; Multiuser detection; Singular value decomposition; Viterbi algorithm;
Journal_Title :
Signal Processing Letters, IEEE
