EM-based maximum-likelihood sequence detection for MIMO optical wireless systems

Authors:
Nestor D. Chatzidiamantis;Murat Uysal;Theodoros A. Tsiftsis;George K. Karagiannidis
Affiliations:
Department of Electrical & Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece;Department of Electrical & Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada;Department of Electrical & Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece;Aristotle University of Thessaloniki, Thessaloniki, Greece
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

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Abstract

A major performance-limiting factor in terrestrial optical wireless (OW) systems is turbulence-induced fading. Exploiting the additional degrees of freedom in the spatial dimension, multiple laser transmitters combined with multiple receiver apertures provide an effective solution for fading mitigation. Although MIMO (Multiple-Input Multiple-Output) OW systems have been extensively studied in recent years, most of these works are mainly limited to symbol-by-symbol decoding. Maximum Likelihood Sequence Detection (MLSD) exploits the temporal correlation of turbulence-induced fading and promises further performance gains. In this paper, we investigate MLSD for IM/DD (intensity-modulation/direct-detection) MIMO OW systems over log-normal atmospheric turbulence channels. Even with a low-order modulation scheme such as On-Off keying which is typically used in OW systems, the complexity of MLSD might be prohibitive. We therefore present an iterative sequence detector based on the expectation-maximization (EM) algorithm. The complexity of the proposed algorithm is much smaller than a direct evaluation of the log-likelihood function. The Monte-Carlo simulation results demonstrate that the EM-based algorithm outperforms the symbol-by-symbol decoder and achieves a performance which lies within 0.5 dB of that of the optimal MLSD.