Title :
Blind decision feedback equalizer with tracking ability in severe propagation conditions
Author :
Alouane, M. Turki-Hadj ; Jaidane-Saidane, M. ; Cherif, S.
Author_Institution :
Lab. des Syst. de Commun., Ecole Nat. des Ingenieurs de Tunis, Tunisia
Abstract :
The non-stationary RLS algorithm is used for decision feedback equalization of time varying channels. We consider Markovian time variations of the impulse response of the channel as in radio mobile communications. The non-stationary RLS algorithm has the capacity to learn in real time about time varying model of the channel, so it presents a better tracking capacity than the classical ones. Hence, it is able to improve the bit error rate especially for severe propagation conditions
Keywords :
Markov processes; blind equalisers; decision feedback equalisers; error statistics; land mobile radio; least squares approximations; radio tracking; recursive estimation; time-varying channels; transient response; BER; Markovian time variations; bit error rate; blind DFE; blind decision feedback equalizer; channel impulse response; nonstationary RLS algorithm; radio mobile communications; severe propagation conditions; time varying channels; tracking; Adaptive algorithm; Adaptive equalizers; Bit error rate; Blind equalizers; Context; Decision feedback equalizers; Intersymbol interference; Nonlinear filters; Performance analysis; Resonance light scattering;
Conference_Titel :
Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-6507-0
DOI :
10.1109/VETECF.2000.886826
