2020
DOI: 10.1016/j.optcom.2020.126046
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Training-aided joint frame and frequency synchronization for free space optical communication signals with low OSNR

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Cited by 7 publications
(6 citation statements)
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“…The proposed algorithm is compared with a TS-based joint processing algorithm in [19] for the overall complexity of FS and FOE in Table II. In this case, the complexity of the FS algorithm considers only the computation of ๐ถ ๐‘š (๐‘‘) , while assuming a sliding window M times (M is generally the length of the entire training cycle of symbols without setting a threshold).…”
Section: Complexity Analysis and Comparisonmentioning
confidence: 99%
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“…The proposed algorithm is compared with a TS-based joint processing algorithm in [19] for the overall complexity of FS and FOE in Table II. In this case, the complexity of the FS algorithm considers only the computation of ๐ถ ๐‘š (๐‘‘) , while assuming a sliding window M times (M is generally the length of the entire training cycle of symbols without setting a threshold).…”
Section: Complexity Analysis and Comparisonmentioning
confidence: 99%
“…The TS-based FOE algorithm [18], [19] uses the TS to remove the modulated phase of the received signal and avoids the 4th power operation that is commonly employed in blind estimation algorithms. As a result, its complexity is lower and the estimation range is wider.…”
Section: Introductionmentioning
confidence: 99%
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“…nn SS + consisting of the same symbol sequences to be added must be estimated first, so that the OPO can be compensated before the coherent addition. The OPO estimation can be realized blindly or with the help of pilot symbols and frame synchronization algorithms able to locate them under very lower OSNR [23], [24]. To average out the error induced by the large ASE noise, the OPO can be estimated by the following equations [23] ๏›…”
Section: Phase Alignment Error and Combining Lossmentioning
confidence: 99%
“…The interested reader is referred to Refs. [9], [18] and [19] for further details of the time alignment algorithms. In previous work, we only studied the equal gain combining (EGC) based digital phase alignment [17].…”
Section: Introductionmentioning
confidence: 99%