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- W2062501983 abstract "A solution for the problem of estimating the PN (Phase Noise) from the observation of the channel output in burst communications is to establish a state-model for the PN and determine the a posteriori probability density function (pdf) of the state conditioned on all measurement data, thus providing the means to compute an optimal estimate with respect to any criterion, e.g., Minimum Mean-Squared Error (MMSE). However, except in the Gaussian case, it is extremely difficult to determine and propagate this density function. As a result,and since the observation model of the PN is non-linear, the a posteriori pdf becomes non-Gaussian, and a sub-optimal solution for the problem must be found. In this paper we approximate the non-Gaussian pdf by a weighted sum of Gaussians. Additionally, we compare the performance results obtained when modeling the density function by a weighted sum of Gaussians with those obtained with a single Gaussian using a SC-FDE (Single Carrier-Frequency Domain Equalizer) scheme." @default.
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- W2062501983 date "2011-12-01" @default.
- W2062501983 modified "2023-09-23" @default.
- W2062501983 title "Bayesian Approach for the Estimation of Phase Noise in SC-FDE Schemes" @default.
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- W2062501983 doi "https://doi.org/10.1109/glocom.2011.6133683" @default.
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