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Communication Dans Un Congrès Année : 2020

Joint frequency domain channel estimation and equalization based on expectation propagation for single carrier transmissions

Résumé

In this paper, a novel category of expectation propagation (EP) based frequency domain (FD) semi-blind receivers are proposed for single-carrier block transmissions. A recently proposed EP-based framework for deriving double-loop turbo detectors is extended to handle joint data-aided channel estimation along with EP-based soft interference cancellation (IC). When addressing this problem in a message passing framework, an unconventional probability density function prevent us from establishing analytical update functions for estimating data and channel estimates. This is solved with variational inference methods, such as mean-field (MF), expectation maximization (EM) or EP, using a three-loop receiver structure with flexible performance-complexity trade-off, thanks to fast Fourier transform (FFT) based processing.
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Dates et versions

hal-02942769 , version 1 (18-09-2020)

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Serdar Sahin, Antonio Cipriano, Charly Poulliat, Marie-Laure Boucheret. Joint frequency domain channel estimation and equalization based on expectation propagation for single carrier transmissions. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), May 2020, Barcelona, Spain. pp.9090-9094, ⟨10.1109/ICASSP40776.2020.9054739⟩. ⟨hal-02942769⟩
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