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Bayesian Phase Search for Probabilistic Amplitude Shaping

Signal Processing 2023-09-11 v2 Information Theory math.IT
Authors: Mohammad Taha Askari , Lutz Lampe
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Abstract

We introduce a Bayesian carrier phase recovery (CPR) algorithm which is robust against low signal-to-noise ratio scenarios. It is therefore effective for phase recovery for probabilistic amplitude shaping (PAS). Results validate that the new algorithm overcomes the degradation experienced by blind phase-search CPR for PAS.

Keywords

signal processing matrix optimization and algorithms gaussian processes

Cite

@article{arxiv.2309.02003,
  title  = {Bayesian Phase Search for Probabilistic Amplitude Shaping},
  author = {Mohammad Taha Askari and Lutz Lampe},
  journal= {arXiv preprint arXiv:2309.02003},
  year   = {2023}
}

Comments

4 pages, 2 figures. Submitted to the 49th European Conference on Optical Communications

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