TY - JOUR
T1 - Low complexity generalized EM algorithm for blind channel estimation and data detection in optical communication systems
AU - Lisnanski, Roman
AU - Weiss, Anthony J.
PY - 2006/11
Y1 - 2006/11
N2 - Expectation-Maximization algorithm (EM) has been used in the past for blind estimation of intersymbol interference channels characterized by additive white Gaussian noise. When the channel is characterized by non-Gaussian, signal-dependent noise, the computational complexity of direct application of EM becomes prohibitively high. In this paper, a low complexity generalized EM algorithm is presented. The proposed algorithm achieves a major reduction in computational complexity compared to the EM algorithm and can be applied to nonlinear finite memory channels with non-Gaussian signal-dependent noise. Simulation results are presented for intensity modulated direct detection optical channel that is characterized by non-central chi-square distribution noise.
AB - Expectation-Maximization algorithm (EM) has been used in the past for blind estimation of intersymbol interference channels characterized by additive white Gaussian noise. When the channel is characterized by non-Gaussian, signal-dependent noise, the computational complexity of direct application of EM becomes prohibitively high. In this paper, a low complexity generalized EM algorithm is presented. The proposed algorithm achieves a major reduction in computational complexity compared to the EM algorithm and can be applied to nonlinear finite memory channels with non-Gaussian signal-dependent noise. Simulation results are presented for intensity modulated direct detection optical channel that is characterized by non-central chi-square distribution noise.
KW - Baum-Welch algorithm
KW - Blind channel estimation
KW - Generalized EM
KW - Hidden Markov Models
KW - Maximum likelihood
KW - Non-central chi-square noise
KW - Non-gaussian signal-dependent noise
UR - http://www.scopus.com/inward/record.url?scp=33748319670&partnerID=8YFLogxK
U2 - 10.1016/j.sigpro.2006.02.037
DO - 10.1016/j.sigpro.2006.02.037
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:33748319670
SN - 0165-1684
VL - 86
SP - 3393
EP - 3403
JO - Signal Processing
JF - Signal Processing
IS - 11
ER -