Low complexity generalized EM algorithm for blind channel estimation and data detection in optical communication systems

Authors:
Roman Lisnanski;Anthony J. Weiss
Affiliations:
Department of Electrical Engineering-Systems, Tel Aviv University, Israel;Department of Electrical Engineering-Systems, Tel Aviv University, Israel
Venue:
Signal Processing - Special section: Distributed source coding
Year:
2006

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Abstract

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.