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Markov chain model in maximum-likelihood sequence detection for free-space optical communication through atmospheric turbulence channels

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2 Author(s)
Xiaoming Zhu ; Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA, USA ; J. M. Kahn

In free-space optical communication links using intensity modulation and direct detection (IM/DD), atmospheric turbulence-induced intensity fluctuations can significantly impair link performance. Communication techniques can be applied to mitigate turbulence-induced intensity fluctuations (i.e., signal fading) in the regime in which the receiver aperture D0 is smaller than the fading correlation length d0 and the observation interval T0 is smaller than the fading correlation time τ0. If the receiver has knowledge of the joint temporal statistics of the fading, maximum-likelihood sequence detection (MLSD) can be employed, but at the cost of high computational complexity. We introduce a single-step Markov chain (SMC) model for the fading correlation and use it to derive two low-complexity, suboptimal MLSD algorithms based on per-survivor processing (PSP). Simulations are presented to verify the SMC model and the performance improvement achieved using these suboptimal per-survivor processing (PSP) algorithms.

Published in:

IEEE Transactions on Communications  (Volume:51 ,  Issue: 3 )