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- W4385192007 abstract "The problem of signal detection for faster-than-Nyquist (FTN) signaling system with imperfect channel state information (CSI) is studied. Also, the non-Gaussian noise in real applications is considered. A general model, Gaussian mixture noise (GMN) model, is applied to describe the unknown probability density function (PDF) of the non-Gaussian noise. After that, a framework over variational inference is constructed to simplify the problem through finding an auxiliary PDF with factorization form. Based on the factor graph over the signal, joint response and the parameters of GMN, an iterative solution is obtained. Simulations demonstrate the effectiveness of the proposed approach." @default.
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- W4385192007 date "2023-10-01" @default.
- W4385192007 modified "2023-09-26" @default.
- W4385192007 title "Signal detection for FTN system under unknown noise model with imperfect CSI" @default.
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- W4385192007 doi "https://doi.org/10.1016/j.phycom.2023.102155" @default.
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