Journal
JOURNAL OF LIGHTWAVE TECHNOLOGY
Volume 33, Issue 7, Pages 1333-1343Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JLT.2015.2394808
Keywords
Bayesian filtering; expectation maximization; optical communication; phase noise; synchronization
Funding
- Danish Council for Independent Research
- Villum Foundation Young Investigator program
- Villum Fonden [00007170] Funding Source: researchfish
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In this paper, tools from machine learning community, such as Bayesian filtering and expectation maximization parameter estimation, are presented and employed for laser amplitude and phase noise characterization. We show that phase noise estimation based on Bayesian filtering outperforms conventional time-domain approach in the presence of moderate measurement noise. Additionally, carrier synchronization based on Bayesian filtering, in combination with expectation maximization, is demonstrated for the first time experimentally.
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