Title :
On-line blind equalization of FIR channels using a Gibbsian technique
Author :
Perreau, Sylvie ; Duhamel, Pierre
Author_Institution :
Alcatel CIT, Paris, France
Abstract :
This paper is concerned with the blind equalisation of a communication system. We propose to realize the identification of the channel impulse response as well as the noise variance estimation and detection of the emitted sequence of symbols. The signal representation as a hidden Markov model (HMM) has the intrinsic potential for solving such a problem. However, the high performance of such methods is usually obtained at the cost of a high computational complexity and local minima problems. Both issues are addressed in this paper
Keywords :
FIR filters; equalisers; estimation theory; filtering theory; hidden Markov models; noise; signal detection; signal representation; signal sampling; telecommunication channels; FIR channels; FIR filter; Gibbs sampler method; Gibbsian technique; HMM; Monte Carlo EM algorithm; channel impulse response; communication system; hidden Markov model; high computational complexity; identification; local minima problems; noise variance estimation; online blind equalization; signal model; signal representation; symbol sequence detection; Blind equalizers; Computational complexity; Costs; Equations; Finite impulse response filter; Hidden Markov models; Iterative algorithms; Parameter estimation; Stochastic processes; Telecommunications;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.604648
