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Low Complexity Blind Carrier Phase Recovery for Probabilistically Shaped QAM
IEEE Photonics Technology Letters ( IF 2.6 ) Pub Date : 2020-09-01 , DOI: 10.1109/lpt.2020.3012970
Gabriele Di Rosa , Andre Richter

We propose a novel two-stage blind carrier phase recovery scheme tailored for probabilistically shaped QAM. Our algorithm is based on modifying the classic Viterbi&Viterbi (V&V) and maximum likelihood (ML) phase estimators by optimizing the blind decisions over the received symbols taking into account the probability distribution of the received signal. Our technique improves the standard V&V + ML in all conditions and outperforms the state-of-the-art blind phase search (BPS) algorithm for a constellation entropy ≤4. At the same time our implementation preserves the low complexity of standard V&V + ML. This results in a remarkable reduction in complexity of up to a factor thirty compared to BPS.

中文翻译:

用于概率形状 QAM 的低复杂度盲载波相位恢复

我们提出了一种新的两阶段盲载波相位恢复方案,专为概率形状的 QAM 量身定制。我们的算法基于修改经典的 Viterbi&Viterbi (V&V) 和最大似然 (ML) 相位估计器,通过优化对接收符号的盲决策考虑到接收信号的概率分布。我们的技术改进了所有条件下的标准 V&V + ML,并且在星座熵≤4 的情况下优于最先进的盲相位搜索 (BPS) 算法。同时,我们的实现保留了标准 V&V + ML 的低复杂性。与 BPS 相比,这导致复杂性显着降低了 30 倍。
更新日期:2020-09-01
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