Title :
On the inclusion of channel´s time dependence in a hidden Markov model for blind channel estimation
Author :
Antón-Haro, Carles ; Fonollosa, José A R ; Fonollosa, Javier R.
Author_Institution :
Dept. de Teoria del Senyal i Comunicacions, Univ. Politecnica de Catalunya, Barcelona, Spain
Abstract :
We introduce several modifications to the Baum&Welch (BW) formulas used to reestimate the parameters of a hidden Markov model (HMM). The estimated parameter is the channel impulse response (CIR) of a communication system which is known to be time-varying. With these modifications, channel tracking properties of a BW-based algorithm are improved. The resulting algorithm is tested in a specific mobile radio environment (the GSM system), exhibiting good performance at expenses of higher computational complexity
Keywords :
cellular radio; computational complexity; hidden Markov models; parameter estimation; time-varying channels; tracking; transient analysis; transient response; Baum-Welch algorithm; Baum-Welch reestimation formulas; GSM system; HMM; blind channel estimation; channel impulse response; channel time dependence; channel tracking properties; communication system; computational complexity; hidden Markov model; mobile radio environment; parameter estimation; system performance; time-varying channel; AWGN; Blind equalizers; GSM; Hidden Markov models; Intersymbol interference; Land mobile radio; Maximum likelihood detection; Maximum likelihood estimation; Parameter estimation; System testing;
Conference_Titel :
Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Conference_Location :
Corfu
Print_ISBN :
0-8186-7576-4
DOI :
10.1109/SSAP.1996.534844
