Joint channel estimation and simplicity-based detection for large-scale MIMO FEC-coded systems

Zahran Hajji 1, 2 Karine Amis Cavalec 1, 2 Abdeldjalil Aissa El Bey 1, 2
1 Lab-STICC_IMTA_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : In this paper, we address the problem of channel estimation and signal detection in large MIMO FEC-coded systems assuming finite alphabet modulations. We consider a semi-blind iterative expectation maximization algorithm which relies on a limited number of pilot sequences to initialize the estimation process. We propose to include the estimation process within a turbo finite-alphabet simplicity (FAS)-based detection receiver. To that purpose we define two estimation updates from the FEC decoder output. Simulations carried out in both determined and undetermined configurations show that the resulting scheme outperforms the state-of-the-art receiver which uses an MMSE estimation criterion and that it reaches the maximum-likelihood lower-bound.
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Communication dans un congrès
10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), Dec 2018, Honk-Kong, Hong Kong SAR China. Proceedings 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), 2018
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Zahran Hajji, Karine Amis Cavalec, Abdeldjalil Aissa El Bey. Joint channel estimation and simplicity-based detection for large-scale MIMO FEC-coded systems. 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), Dec 2018, Honk-Kong, Hong Kong SAR China. Proceedings 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), 2018. 〈hal-01893584〉

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