On the Optimum Demodulation in the Presence of Gaussian Phase Noise

Abstract : —Millimeter-wave systems appears to be one of the foremost solutions to face the exponential growth of the data traffic. Yet, their performance are severely degraded by oscilla-tors phase noise. This paper addresses the design of optimum receivers affected by phase noise. We first derive the optimum decision metric for symbol detection under the assumption of a Gaussian phase noise and a high signal-to-noise ratio. In contrast to state-of-the-art approaches, we propose to represent within a complete metric space the demodulation over the phase noise channel. The provided framework enables the use of efficient algorithms to perform the demodulation. Computable probabilistic demapper values are derived upon the optimum metric to implement soft channel decoding. This work shows that knowledge of the channel statistics can be capitalized to enhance performance of both coded and uncoded systems. Eventually, we propose the necessary channel estimation scheme and evaluate the performance degradation due to estimation errors.
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Communication dans un congrès
ICT 2018 - Special session THZ communications, Jun 2018, Saint Malo, France
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Contributeur : Jean-Baptiste Doré <>
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Dernière modification le : lundi 24 septembre 2018 - 10:56:05
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Simon Bicaïs, Jean-Baptiste Doré, José Luis Gonzalez Jimenez. On the Optimum Demodulation in the Presence of Gaussian Phase Noise. ICT 2018 - Special session THZ communications, Jun 2018, Saint Malo, France. 〈hal-01807050〉

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