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.

翻译：我们提出了一种对低信噪比场景具有鲁棒性的贝叶斯载波相位恢复（CPR）算法。因此，该算法能有效用于概率幅度整形（PAS）的相位恢复。结果表明，新算法克服了盲相位搜索CPR在PAS中出现的性能退化问题。