2011 International Conference on Space Optical Systems and Applications (ICSOS) 2011
DOI: 10.1109/icsos.2011.5783685
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Experimental analysis of the time dynamics of coherent communication through turbulence: Markovianity and channel prediction

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Cited by 10 publications
(6 citation statements)
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“…However, as in AMR operation, we observe frameby-frame transmissions that capture the memory properties of channel, it is important to include the time-varying behavior of atmospheric turbulence for more accurate performance evaluation. Experimental results supporting the timevarying behavior model can be found in [22] for the atmospheric turbulence.…”
Section: Markov Chain Modelssupporting
confidence: 74%
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“…However, as in AMR operation, we observe frameby-frame transmissions that capture the memory properties of channel, it is important to include the time-varying behavior of atmospheric turbulence for more accurate performance evaluation. Experimental results supporting the timevarying behavior model can be found in [22] for the atmospheric turbulence.…”
Section: Markov Chain Modelssupporting
confidence: 74%
“…Note that (19) and (20) are the special cases of (25) and (26) when Ł = 0. Figure 3 compares the FER exact expression obtained by (21) with its approximations obtained by (22), and justifies the use of the FER approximations. Figure 3(a) also illustrates an example of how to obtain the switching thresholds for variable values of Ł.…”
Section: Amr/arq Cross-layer Designsupporting
confidence: 63%
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“…In [42], these distributions were obtained from experimental links data and compared to those generated by a twostate Markov (Gilbert-Erasure) model. This kind of model was also validated through experimentation for the atmospheric channel in [43,44]. Assuming the Markovian nature of the fading process as well, a similar two-state discrete time Markov model is used here to analytically compute the exceedance probability of fades' duration (i.e., the probability of facing a fade duration greater than the one considered) of the SMFcoupled flux after partial AO correction:…”
Section: Fade Duration Distributionmentioning
confidence: 99%
“…with a = 1/2, b = 1 for Gauss-Markov process [14] or with a = 1, b = 2 [11]. The channel correlation time τ 0 is inversely proportional to the transversal wind speed [4], see Fig.…”
Section: A Power Scintillationmentioning
confidence: 99%