Maximum Likelihood Carrier Phase Estimation Based on Monte Carlo Integration

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Rafael Rios-Müller, Bertold Ian Bitachon

Published: 2017, Last Modified: 06 Feb 2025ECOC 2017EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: The mean-squared error performance and phase noise variance tolerance of a maximum likelihood carrier phase estimation based on Monte Carlo integration is evaluated and used as a baseline for comparison with two relaxed versions of this estimator.